CLEF 2024

Table of Contents

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• Overview of BioASQ Tasks 12b and Synergy12 in CLEF2024 1-7 PDF
  Georgios Katsimpras, Georgios Paliouras, Anastasia Krithara, Anastasios Nentidis
• Overview of MultiCardioNER task at BioASQ 2024 on Medical Specialty and Language Adaptation of Clinical NER Systems for Spanish, English and Italian 8-27 PDF
  Georgios Paliouras, Jonathan Kossof, Giovanna Ceroni, Jan Rodríguez-Miret, Miguel Rodríguez-Ortega, Livia Lilli, Anoop Shah, Salvador Lima-López, Eulàlia Farré-Maduell, Martin Krallinger, Anastasios Nentidis, Jacopo Lenkowicz, Georgios Katsimpras, Anastasia Krithara
• Overview of BioNNE Task on Biomedical Nested Named Entity Recognition at BioASQ 2024 28-34 PDF
  Elena Tutubalina, Vera Davydova, Natalia V. Loukachevitch
• Transformer-Based Disease and Drug Named Entity Recognition in Multilingual Clinical Texts: MultiCardioNER challenge 35-46 PDF
  Svetla Boytcheva, Aleksis Datseris, Anna Aksenova, Sylvia Vassileva
• BIT.UA at BioASQ 12: From Retrieval to Answer Generation 47-67 PDF
  Sérgio Matos, João António Reis, Richard Adolph Aires Jonker, João Rafael Almeida, Tiago Melo Almeida
• LLM Fine-Tuning With Biomedical Open-Source Data 68-77 PDF
  Christopher Anaya, Francisco M. Couto, Maria Fernandes
• Can Open-Source LLMs Compete with Commercial Models? Exploring the Few-Shot Performance of Current GPT Models in Biomedical Tasks 78-98 PDF
  Samy Ateia, Udo Kruschwitz
• NCU-IISR: Enhancing Biomedical Question Answering with GPT-4 and Retrieval Augmented Generation in BioASQ 12b Phase B 99-105 PDF
  Richard Tzong-Han Tsai, Bing-Chen Chih, Jen-Chieh Han
• Multilingual Clinical NER for Diseases and Medications Recognition in Cardiology Texts using BERT Embeddings 106-116 PDF
  Oladimeji Farri, Lucian Mihai Itu, Manuela Daniela Danu, Constantin Suciu, Vasile George Marica
• Enhancing Biomedical Question Answering with Parameter-Efficient Fine-Tuning and Hierarchical Retrieval Augmented Generation 117-129 PDF
  Yichen Gao, Licheng Zong, Yu Li 0006
• Team NOVA LINCS @ BIOASQ12 MultiCardioNER Track: Entity Recognition with Additional Entity Types 130-137 PDF
  Andre Lamurias, Rodrigo Gonçalves
• Generative Large Language Models Augmented Hybrid Retrieval System for Biomedical Question Answering 138-149 PDF
  Bor-Woei Huang
• BIT.UA at MultiCardioNER: Adapting a Multi-head CRF for Cardiology 150-158 PDF
  Richard Adolph Aires Jonker, Sérgio Matos, Tiago Melo Almeida
• Comparative Analyses of Multilingual Drug Entity Recognition Systems for Clinical Case Reports In Cardiology 159-167 PDF
  Joram M. Posma, Chaeeun Lee, Antoine Lain, T. Ian Simpson
• Enhancing Biomedical Document Ranking with Domain Knowledge Incorporation in a Multi-Stage Retrieval Approach 168-175 PDF
  Maël Lesavourey, Gilles Hubert 0001
• MiBi at BioASQ 2024: Retrieval-Augmented Generation for Answering Biomedical Questions 176-187 PDF
  Adrian Viehweger, Alexander Bondarenko 0001, Jan Heinrich Merker, Matthias Hagen
• Farming Open LLMs for Biomedical Question Answering 188-196 PDF
  Alexandros C. Dimopoulos, Martin Reczko, Dimitra N. Panou
• Nested Named Entity Recognition using Multilayer BERT-based Model 197-206 PDF
  Arzucan Özgür, Jie Zheng 0001, Junguk Hur, Yongqun He, Benu Bansal, Nur Bengisu Çam, Hasin Rehana
• Identifying Cardiological Disorders in Spanish via Data Augmentation and Fine-Tuned Language Models 207-222 PDF
  Marco Postiglione, Giuseppe Riccio, Antonio Romano, Vincenzo Moscato
• Cross-Linguistic Disease and Drug Detection in Cardiology Clinical Texts: Methods and Outcomes 223-244 PDF
  Leonardo Campillos Llanos, Allan Hanbury, Wojciech Kusa, Patrick Styll
• Biomedical Nested NER with Large Language Model and UMLS Heuristics 245-252 PDF
  Wenxin Zhou
• Using Pretrained Large Language Model with Prompt Engineering to Answer Biomedical Questions 253-268 PDF
  Wenxin Zhou, Thuy Hang Ngo
• HU-WBI at BioASQ12B Phase A: Exploring Rank Fusion of Dense Retrievers and Re-rankers 269-275 PDF
  Xing David Wang, Ulf Leser, Oguz Serbetçi
• Overview of the CLEF-2024 CheckThat! Lab Task 1 on Check-Worthiness Estimation of Multigenre Content 276-286 PDF
  Firoj Alam, Chengkai Li 0001, Maram Hasanain, Reem Suwaileh, Preslav Nakov, Wajdi Zaghouani, Sanne Weering, Alberto Barrón-Cedeño, Tommaso Caselli
• Overview of the CLEF-2024 CheckThat! Lab Task 2 on Subjectivity in News Articles 287-298 PDF
  Reem Suwaileh, Ivan Koychev, Melanie Siegel, Michael Wiegand, Alberto Barrón-Cedeño, Georgi Pachov, Wajdi Zaghouani, Federico Ruggeri, Dimitar Dimitrov 0003, Andrea Galassi, Preslav Nakov, Julia Maria Struß, Maram Hasanain, Firoj Alam
• Overview of the CLEF-2024 CheckThat! Lab Task 3 on Persuasion Techniques 299-310 PDF
  Nana Yu, Alípio Mário Jorge, Ivan Koychev, Senja Pollak, Jakub Piskorski, Nuno Guimarães, Zoran Fijavz, Ana Filipa Pacheco, Nikolay Ribin, Ricardo Campos 0001, Giovanni Da San Martino, Purificação Silvano, Ana Zwitter Vitez, Elisa Sartori, Nicolas Stefanovitch, Firoj Alam, Preslav Nakov, Dimitar Dimitrov 0003, Maram Hasanain
• Overview of the CLEF-2024 CheckThat! Lab Task 5 on Rumor Verification using Evidence from Authorities 311-320 PDF
  Reem Suwaileh, Fatima Haouari, Tamer Elsayed
• Overview of the CLEF-2024 CheckThat! Lab Task 6 on Robustness of Credibility Assessment with Adversarial Examples (InCrediblAE) 321-338 PDF
  Yida Mu, Horacio Saggion, Kim Cheng Sheang, Xingyi Song, Ben Wu (disambiguation), Piotr Przybyla, Alexander V. Shvets
• IAI Group at CheckThat! 2024: Transformer models and data augmentation for checkworthy claim detection 339-350 PDF
  Vinay Setty, Peter Røysland Aarnes, Petra Galuscáková
• DEFAULT at CheckThat! 2024: Retrieval Augmented Classification using Differentiable Top-K Operator for Rumor Verification based on Evidence from Authorities 351-360 PDF
  Shrey Satapara, Maunendra Desarkar, Sayanta Adhikari, Rupa Kumari, Himanshu Sharma (disambiguation)
• Nullpointer at CheckThat! 2024: Identifying Subjectivity from Multilingual Text Sequence 361-368 PDF
  Md. Rafiul Biswas, Wajdi Zaghouani, Abrar Tasneem Abir
• TurQUaz at CheckThat! 2024: A Hybrid Approach of Fine-Tuning and In-Context Learning for Check-Worthiness Estimation 369-377 PDF
  Mucahid Kutlu, Kaan Efe Keles, Mehmet Eren Bulut
• HYBRINFOX at CheckThat! 2024 - Task 2: Enriching BERT Models with the Expert System VAGO for Subjectivity Detection 378-386 PDF
  Guillaume Gadek, Guillaume Gravier, Paul Egré, Morgane Casanova, Géraud Faye, Benjamin Icard, Julien Chanson
• Fired_from_NLP at CheckThat! 2024: Estimating the Check-Worthiness of Tweets Using a Fine-tuned Transformer-based Approach 387-395 PDF
  Hasan Murad, Anik Mahmud Shanto, Mostak Mahmud Chowdhury, Udoy Das, Md. Sajid Alam Chowdhury
• TurQUaz at CheckThat! 2024: Creating Adversarial Examples using Genetic Algorithm 396-404 PDF
  Mucahid Kutlu, Selin Mergen, Basak Demirok, Bugra Oz
• Mirela at CheckThat! 2024: Check-worthiness of Tweets with Multilingual Embeddings and Adversarial Training 405-410 PDF
  Mirela Dryankova, Ivan Koychev, Dimitar Dimitrov 0003, Preslav Nakov
• HYBRINFOX at CheckThat! 2024 - Task 1: Enhancing Language Models with Structured Information for Check-Worthiness Estimation 411-418 PDF
  Guillaume Gadek, Benjamin Icard, Géraud Faye, Julien Chanson, Morgane Casanova, Paul Egré, Guillaume Gravier
• Eevvgg at CheckThat! 2024: Evaluative Terms, Pronouns and Modal Verbs as Markers of Subjectivity in Text 419-425 PDF
  Ewelina Gajewska
• UniBO at CheckThat! 2024: Multi-lingual and Multi-label Persuasion Technique Detection in News with Data Augmentation and Sequence-Token Classifiers 426-434 PDF
  Paolo Gajo, Alberto Barrón-Cedeño, Luca Giordano
• DSHacker at CheckThat! 2024: LLMs and BERT for Check-Worthy Claims Detection with Propaganda Co-occurrence Analysis 435-445 PDF
  Arkadiusz Modzelewski, Aleksander Jochym, Pawel Golik
• CLaC-2 at CheckThat! 2024: A Zero-Shot Model for Check-Worthiness and Subjectivity Classification 446-452 PDF
  Shayne Gruman, Leila Kosseim
• TextTrojaners at CheckThat! 2024: Robustness of Credibility Assessment with Adversarial Examples through BeamAttack 453-472 PDF
  Arnisa Fazla, David Guzman Piedrahita, Lucas Krauter
• Palöri at CheckThat! 2024 Shared Task 6: GloTa - Combining GloVe Embeddings with RoBERTa for Adversarial Attack 473-482 PDF
  Haokun He, Yafeng Song, Dylan Massey
• SSN-NLP at CheckThat! 2024: Assessing the Check-Worthiness of Tweets and Debate Excerpts Using Traditional Machine Learning and Transformer Models 483-488 PDF
  B. Bharathi 0001, Nilu R. Salim, Sanjjit Sounderrajan, Sanjai Balajee Kannan Giridharan
• AuthEv-LKolb at CheckThat! 2024: A Two-Stage Approach To Evidence-Based Social Media Claim Verification 489-505 PDF
  Luis Kolb, Allan Hanbury
• OpenFact at CheckThat! 2024: Combining Multiple Attack Methods for Effective Adversarial Text Generation 506-519 PDF
  Milena Strózyna, Piotr Stolarski, Aleksandra Wojewoda, Marcin Sawinski, Ewelina Ksiezniak, Wlodzimierz Lewoniewski, Elzbieta Lewanska
• FactFinders at CheckThat! 2024: Refining Check-worthy Statement Detection with LLMs through Data Pruning 520-537 PDF
  Rrubaa Panchendrarajan, Arkaitz Zubiaga, Yufeng Li (disambiguation)
• Trio Titans at Check That! 2024 : Check Worthiness Estimation 538-545 PDF
  Sai Geetha M, Prarthna M, Saritha M, Chiranjeev Prasannaa V. V
• Mela at CheckThat! 2024: Transferring Persuasion Detection from English to Arabic - A Multilingual BERT Approach 546-551 PDF
  Md Abdur Razzaq Riyadh, Sara Nabhani
• SemanticCuetSync at CheckThat! 2024: Finding Subjectivity in News Articles using Llama 552-559 PDF
  Mohammed Moshiul Hoque, Md. Sajjad Hossain, Shawly Ahsan, Symom Hossain Shohan, Ashraful Islam Paran, Jawad Hossain
• SEUPD@CLEF: Team Axolotl on Rumor Verification using Evidence from Authorities 560-569 PDF
  Andrea Pasin, Nicola Ferro 0001
• SSN-NLP at CheckThat! 2024: From Feature-based Algorithms to Transformers: A Study on Detecting Subjectivity 570-579 PDF
  Bharathi B, Nilu R. Salim, Pooja Premnath, Pranav Vaithiya Subramani
• MMU NLP at CheckThat! 2024: Homoglyphs are Adversarial Attacks 580-589 PDF
  Matthew Shardlow, Charlie Roadhouse, Ashley Williams
• Tonirodriguez at CheckThat!2024: Is it Possible to Use Zero-Shot Cross-Lingual Methods for Subjectivity Detection in Low-Resources Languages? 590-597 PDF
  Elisabet Golobardes, Antonio Rodríguez (disambiguation), Jaume Suau
• JK_PCIC_UNAM at CheckThat! 2024: Analysis of Subjectivity in News Sentences Using Transformers-Based Models 598-604 PDF
  Helena Gómez-Adorno, Iván Díaz, Karla Salas-Jimenez, Gerardo Sierra, Gemma Bel Enguix
• Indigo at CheckThat! 2024: Using Setfit: A Resource Efficient Technique for Subjectivity Detection in News Article 605-612 PDF
  Dwaipayan Roy 0001, Soumyadeep Sar
• OpenFact at CheckThat! 2024: Cross-Lingual Transfer Learning for Check-Worthiness Detection 613-631 PDF
  Ewelina Ksiezniak, Marcin Sawinski, Krzysztof Wecel
• SemanticCuetSync at CheckThat! 2024: Pre-trained Transformer-based Approach to Detect Check-Worthy Tweet 632-640 PDF
  Mohammed Moshiul Hoque, Md. Sajjad Hossain, Shawly Ahsan, Symom Hossain Shohan, Ashraful Islam Paran, Jawad Hossain
• DataBees at CheckThat! 2024: Check-Worthiness Estimation 641-650 PDF
  Sowmya Anand, Bharathi B, Tanisha Sriram, Yadushree Venkatesh
• SINAI at CheckThat! 2024: Transformer-based Approaches for Check-Worthiness Classification 651-657 PDF
  Jaime Collado-Montañez, Manuel Carlos Díaz-Galiano, Sergiu Stoia, Cristian Ibáñez-Bautista, Arturo Montejo-Ráez, María Teresa Martín Valdivia
• SINAI at CheckThat! 2024: Stealthy Character-Level Adversarial Attacks Using Homoglyphs and Iterative Search 658-665 PDF
  Salud M. Jiménez-Zafra, Eugenio Martínez-Cámara, Luis Alfonso Ureña López, José Valle-Aguilera, Alberto José Gutiérrez-Megías
• Fraunhofer SIT at CheckThat! 2024: Adapter Fusion for Check-Worthiness Detection 666-671 PDF
  Inna Vogel, Pauline Möhle
• FC_RUG at CheckThat! 2024: Few-shot Learning Using GEITje for Check-Worthiness Detection in Dutch 672-679 PDF
  Sanne Weering, Tommaso Caselli
• Checker Hacker at CheckThat! 2024: Detecting Check-Worthy Claims and Analyzing Subjectivity with Transformers 680-686 PDF
  Abdul Samad (disambiguation), Faisal Alvi, Syeda Duae Zehra, Kushal Chandani, Ahmed Ali Aun Muhammed, Muhammad Khubaib
• ELOQUENT 2024 — Topical Quiz Task 687-690 PDF
  Aarne Talman, Jussi Karlgren
• Overview of the CLEF-2024 Eloquent Lab: Task 2 on HalluciGen 691-702 PDF
  Luise Dürlich, Joakim Nivre, Liane Guillou, Shorouq Zahra, Evangelia Gogoulou
• ELOQUENT 2024 — Robustness Task 703-707 PDF
  Aarne Talman, Evangelia Gogoulou, Shorouq Zahra, Jussi Karlgren, Magnus Sahlgren, Luise Dürlich
• Evaluating Poro-34B-Chat and Mistral-7B-Instruct-v0.1: LLM System Description for ELOQUENT at CLEF 2024 708-711 PDF
  Sander Bijl de Vroe, Vasumathi Neralla
• GPT Hallucination Detection Through Prompt Engineering 712-721 PDF
  Ilenia Tinnirello, Marco Siino
• Experimental Report on Robustness Task - ELOQUENT Lab @ CLEF 2024 722-726 PDF
  Annika Simonsen
• The Two Sides of the Coin: Hallucination Generation and Detection with LLMs as Evaluators for LLMs 727-758 PDF
  Philipp Schaer, Anh Thu Maria Bui, Natalie Hußfeldt, Tobias Jennert, Melanie Ullrich, Saskia Felizitas Brech, Timo Breuer 0002, Narjes Nikzad-Khasmakhi
• Overview of eRisk 2024: Early Risk Prediction on the Internet (Extended Overview) 759-781 PDF
  Patricia Martín-Rodilla, David E. Losada, Javier Parapar, Fabio Crestani
• NUS-IDS@eRisk2024: Ranking Sentences for Depression Symptoms using Early Maladaptive Schemas and Ensembles 782-793 PDF
  See-Kiong Ng, Sujatha Das Gollapalli, Beng Heng Ang
• REBECCA at eRisk 2024: Search for Symptoms of Depression Using Sentence Embeddings and Prompt-Based Filtering 794-802 PDF
  Filareti Tsalakanidou, Anna Barachanou, Symeon Papadopoulos
• ELiRF-VRAIN at eRisk 2024: Using LongFormers for Early Detection of Signs of Anorexia 803-812 PDF
  Vicent Ahuir, Andreu Casamayor, Antonio Molina, Lluís F. Hurtado
• NLP-UNED at eRisk 2024: Approximate Nearest Neighbors with Encoding Refinement for Early Detecting Signs of Anorexia 813-824 PDF
  Daniel Deniz, Lourdes Araujo, Hermenegildo Fabregat, Juan Martínez-Romo, Andrés Duque
• DS@GT eRisk 2024: Sentence Transformers for Social Media Risk Assessment 825-833 PDF
  Anthony Miyaguchi, Aaryan Potdar, David Guecha
• MindwaveML at eRisk 2024: Identifying Depression Symptoms in Reddit Users 834-840 PDF
  Raluca-Maria Hanciu
• Automatically Finding Evidence and Predicting Answers in Mental Health Self-Report Questionnaires 841-850 PDF
  Marie-Jean Meurs, Sébastien Mosser 0001, Yves Ferstler, Diego Maupomé
• SINAI at eRisk@ CLEF 2024: Approaching the Search for Symptoms of Depression and Early Detection of Anorexia Signs using Natural Language Processing 851-861 PDF
  Manuel García Vega, Karla María Valencia-Segura, Alba María Mármol-Romero, Adrián Moreno-Muñoz, Pablo Álvarez-Ojeda, Arturo Montejo-Ráez, Eugenio Martínez-Cámara
• UMUTeam at eRisk@CLEF 2024: Fine-Tuning Transformer Models with Sentiment Features for Early Detection and Severity Measurement of Eating Disorders 862-870 PDF
  Rafael Valencia-García, Ronghao Pan, José Antonio García-Díaz, Tomás Bernal-Beltrán
• APB-UC3M at eRisk 2024: Natural Language Processing and Deep Learning for the Early Detection of Mental Disorders 871-880 PDF
  Alejandro Pardo Bascuñana, Isabel Segura-Bedmar
• Measuring the severity of the signs of Eating Disorders using Machine Learning Techniques 881-887 PDF
  Anand Kumar Madasamy, Subhojit Karmakar, Sachin Prasanna, M. Yoga Hiranmayi, Abhayjit Singh Gulati
• Combining Recommender Systems and Language Models in Early Detection of Signs of Anorexia 888-893 PDF
  Oskar Riewe-Perla, Agata Filipowska
• A Natural Language Processing Based Framework for Early Detection of Anorexia via Sequential Text Processing 894-901 PDF
  Sumit Kumar (disambiguation), Tanmay Basu, Prateek Sarangi, Shraddha Agarwal
• A Time-Aware Approach to Early Detection of Anorexia: UNSL at eRisk 2024 902-907 PDF
  Horacio Thompson, Marcelo Luis Errecalde
• Overview of EXIST 2024 - Learning with Disagreement for Sexism Identification and Characterization in Tweets and Memes (Extended Overview) 908-941 PDF
  Enrique Amigó, Damiano Spina, Jorge Carrillo de Albornoz, Julio Gonzalo, Alba Maeso, Víctor Ruiz, Berta Chulvi, Laura Plaza, Paolo Rosso, Roser Morante
• RoBEXedda: Sexism Detection in Tweets 942-957 PDF
  Andrea Piras, Nicola Emmolo, Giacomo Aru, Simone Marzeddu, Jacopo Raffi, Lucia C. Passaro
• Bilingual Sexism Classification: Fine-Tuned XLM-RoBERTa and GPT-3.5 Few-Shot Learning 958-965 PDF
  Sauleh Eetemadi, Sina Zamani, Baktash Ansari, AmirMohammad Azadi
• Penta ML at EXIST 2024: Tagging Sexism in Online Multimodal Content With Attention-enhanced Modal Context 966-977 PDF
  Md Sakib Ul Rahman Sourove, Fariha Tanjim Shifat, Deeparghya Dutta Barua, Fabiha Haider, Farhad Alam Bhuiyan, Md Farhan Ishmam, Md Fahim
• I2C-UHU at EXIST 2024: Transformer-Based Detection of Sexism and Source Intention in Memes Using a Learning with Disagreement Approach 978-992 PDF
  Javier Román Pásaro, Álvaro Carrillo-Casado, Jacinto Mata Vázquez, Victoria Pachón
• FraunhoferSIT@EXIST2024: Leveraging Stacking Ensemble Learning for Sexism Detection 993-1002 PDF
  Shiying Fan, Martin Steinebach, Raphael Antonius Frick
• NYCU-NLP at EXIST 2024: Leveraging Transformers with Diverse Annotations for Sexism Identification in Social Networks 1003-1011 PDF
  Lung-Hao Lee, Yi-Zeng Fang, Juinn-Dar Huang
• LightGBM for Sexism Identification in Memes 1012-1017 PDF
  Miquel Obrador Reina, Arnau García i Cucó
• Automatic Classification of Gender Stereotypes in Social Media Post 1018-1025 PDF
  Thenmozhi Durairaj (disambiguation), Jerin Mahibha C, Gersome Shimi
• I2C-UHU at EXIST2024: Learning from Divergence and Perspectivism for Sexism Identification and Source Intent Classification 1026-1042 PDF
  Manuel Guerrero-García, Manuel Cerrejón-Naranjo, Jacinto Mata Vázquez, Victoria Pachón
• Enhancing Sexism Detection in Tweets with Annotator-Integrated Ensemble Methods and Multimodal Embeddings for Memes 1043-1057 PDF
  Irvin Hussein López-Nava, Manuel Montes-y-Gómez, Martha Paola Jimenez-Martinez, Carlos Eduardo Sánchez-Torres, Joan Raygoza-Romero
• Sexism Identification in Social Networks using TF-IDF Embeddings, PreProccessing, Feature Selection, Word/Char N-Grams and Various Machine Learning Models In Spanish and English 1058-1069 PDF
  Ron Keinan
• Multilingual Sexism Identification via Fusion of Large Language Models 1070-1079 PDF
  Gabriele Pergola, Sahrish Khan, Arshad Jhumka
• RoJiNG-CL at EXIST 2024: Leveraging Large Language Models for Multimodal Sexism Detection in Memes 1080-1090 PDF
  Rong Li (disambiguation), Jing Ma (disambiguation)
• A Contrastive Learning Based Approach to Detect Sexism in Memes 1091-1097 PDF
  Elisabetta Fersini, Fariha Maqbool
• Sexism Identification in Social Networks: Advances in Automated Detection - A Report on the Exist Task at CLEF 1098-1106 PDF
  Nimra Maqbool
• VerbaNex AI at CLEF EXIST 2024: Detection of Online Sexism using Transformer Models and Profiling Techniques 1107-1113 PDF
  Juan Carlos Martínez Santos, Edwin Puertas, Juan Cuadrado, Elizabeth Martinez
• DiTana-PV at sEXism Identification in Social neTworks (EXIST) tasks 4 and 6: The Effect of Translation in Sexism Identification 1114-1121 PDF
  Diego Torres-Bertomeu, Aitana Menárguez-Box
• NICA at EXIST CLEF Tasks 2024 1122-1134 PDF
  Sauleh Eetemadi, Melika Nobakhtian, Aylin Naebzadeh
• UMUTeam at EXIST 2024: Multi-modal Identification and Categorization of Sexism by Feature Integration 1135-1147 PDF
  José Antonio García-Díaz, Ronghao Pan, Tomás Bernal-Beltrán, Rafael Valencia-García
• Multilingual Sexism Detection in Memes, A CLIP-Enhanced Machine Learning Approach 1148-1156 PDF
  Umera Wajeed Pasha
• Language-based Mixture of Transformers for EXIST2024 1157-1164 PDF
  Ciprian-Octavian Truica, Elena Apostol, Alexandru Petrescu
• Sexism Identification in Social Networks with Generation-based Language Models 1165-1176 PDF
  Dang Van Thin, Le Minh Quan
• PINK at EXIST2024: A Cross-Lingual and Multi-Modal Transformer Approach for Sexism Detection in Memes 1177-1186 PDF
  Giulia Rizzi, David Gimeno-Gómez, Carlos D. Martínez-Hinarejos, Elisabetta Fersini
• Concatenated Transformer Models Based On Levels Of Agreements For Sexism Detection 1187-1197 PDF
  Laura Plaza, Víctor Ruiz, Jorge Carrillo de Albornoz
• Team Aditya at EXIST 2024 – Detecting Sexism in Multilingual Tweets using Contrastive Learning Approach 1198-1202 PDF
  Aditya Gokhale, Aditya Shah
• The Wisdom of Weighing: Stacking Ensembles for a More Balanced Sexism Detector 1203-1213 PDF
  Sheetal Sonawane, Suramya Jadhav, Sumedh Joshi, Atharva Date, Abhay Shanbhag
• Penta-nlp at EXIST 2024 Task 1-3: Sexism Identification, Source Intention, Sexism Categorization In Tweets 1214-1227 PDF
  Md Farhan Ishmam, Fariha Tanjim Shifat, Deeparghya Dutta Barua, Md Sakib Ul Rahman Sourove, Fabiha Haider, Farhad Alam Bhuiyan, Md Fahim
• Prompt Engineering for Identifying Sexism using GPT Mistral 7B 1228-1236 PDF
  Marco Siino, Ilenia Tinnirello
• RMIT-IR at EXIST Lab at CLEF 2024 1237-1252 PDF
  Johanne R. Trippas, Damiano Spina, Tony Smith, H. Ruda Nie
• Sexism Identification in Tweets Using Machine Learning Approaches 1253-1259 PDF
  Shriram Gopalakrishnan, Shreyas Karthik, Murari Sreekumar, Thenmozhi Durairaj (disambiguation), Krithika Swaminathan
• Better Together: LLM and Neural Classification Transformers to Detect Sexism 1260-1273 PDF
  Judith Tavarez-Rodríguez, Alejandro Rosales-Pérez, Fernando Sánchez-Vega, Adrián Pastor López-Monroy
• Sexism Identification in Tweets using BERT and XLM - Roberta 1274-1279 PDF
  Faryal Khan, Faisal Alvi, Rania Siddiqui, Maha Usmani, Samin Rizwan, Abdul Samad (disambiguation)
• Cracking Down on Digital Misogyny with MULTILATE a MULTImodaL hATE Detection System 1280-1296 PDF
  Partha Pakray, Advaitha Vetagiri, Prateek Mogha
• Stacked Reflective Reasoning in Large Neural Language Models 1297-1311 PDF
  Alejandro Rosales-Pérez, Fernando Sánchez-Vega, Adrián Pastor López-Monroy, Kapioma Villarreal Haro
• Overview of iDPP@CLEF 2024: The Intelligent Disease Progression Prediction Challenge 1312-1331 PDF
  Alessandro Guazzo, Stefano Marchesin 0001, Umberto Manera, Laura Menotti, Isotta Trescato, Jose Manuel García Dominguez, Paola Cavalla, Piero Fariselli, Gianmaria Silvello, Barbara Di Camillo, Sara C. Madeira, Nicola Ferro 0001, Giovanni Birolo, Arianna Dagliati, Giorgio Maria Di Nunzio, Mamede de Carvalho, Roberto Bergamaschi, Adriano Chiò, Martina Vettoretti, Helena Aidos, Eleonora Tavazzi, Pietro Bosoni, Enrico Longato, Guglielmo Faggioli, Marta Gromicho, Erica Tavazzi
• ALSFRS-R Score Prediction for Amyotrophic Lateral Sclerosis 1332-1340 PDF
  Tiziana Sanavia, Giovanni Birolo, Guido Barducci, Flavio Sartori, Piero Fariselli
• Predicting Multiple Sclerosis Relapses Using Patient Exposure Trajectories 1341-1352 PDF
  Roberto Bergamaschi, Arianna Dagliati, Daniele Pala, Eleonora Tavazzi, Pietro Bosoni, Riccardo Bellazzi, Mahin Vazifehdan
• Using Wearable and Environmental Data to Improve the Prediction of Amyotrophic Lateral Sclerosis and Multiple Sclerosis Progression: an Explorative Study 1353-1365 PDF
  Enrico Longato, Martina Vettoretti, Barbara Di Camillo, Elena Marinello, Alessandro Guazzo, Erica Tavazzi, Isotta Trescato
• Predicting the Functional Rating Scale and Self-Assessment Status of ALS Patients with Sensor Data 1366-1379 PDF
  Helena Aidos, Ruben Branco, Eduardo N. Castanho, Diogo F. Soares, Andreia S. Martins, Daniela M. Amaral, Sara C. Madeira
• Machine Learning for ALSFRS-R Score Prediction: Making Sense of the Sensor Data 1380-1391 PDF
  Ritesh Mehta, Shashank Verma, Aleksandar Pramov
• UBCS at IDPP: Predicting Patient Self-Assessment Score from Sensor Data using Machine Learning Algorithms 1392-1400 PDF
  Gontlafetse Mosweunyane, Chibuzor Chukwuemeka Okere, Edwin Thuma
• BIT.UA at iDPP: Predictive Analytics on ALS Disease Progression Using Sensor Data with Machine Learning 1401-1411 PDF
  Jorge Miguel 0002, José Luís Oliveira
• Overview of the 2024 ImageCLEFmedical GANs Task - Investigating Generative Models' Impact on Biomedical Synthetic Images 1412-1428 PDF
  Ahmedkhan Radzhabov, Alexandra-Georgiana Andrei, Yuri Prokopchuk, Dzmitry Karpenka, Bogdan Ionescu, Henning Müller, Vassili Kovalev
• Overview of ImageCLEFmedical 2024 – Medical Visual Question Answering for Gastrointestinal Tract 1429-1436 PDF
  Vajira Thambawita, Steven Alexander Hicks, Andrea M. Storås, Pål Halvorsen, Michael Riegler 0001
• Overview of ImageCLEFmedical 2024 – Caption Prediction and Concept Detection 1437-1455 PDF
  Ahmad Idrissi-Yaghir, Asma Ben Abacha, Cynthia Sabrina Schmidt, Christoph M. Friedrich, Johannes Rückert, Henning Müller, Benjamin Bracke, Hendrik Damm, Alba Garcia Seco de Herrera, Henning Schäfer, Raphael Brüngel, Tabea Margareta Grace Pakull, Louise Bloch
• Overview of the MEDIQA-MAGIC Task at ImageCLEF 2024: Multimodal And Generative TelemedICine in Dermatology 1456-1462 PDF
  Wen-wai Yim, Zhaoyi Sun, Yujuan Fu, Asma Ben Abacha, Fei Xia 0004, Meliha Yetisgen
• IRLab@IIT_BHU at MEDIQA-MAGIC 2024: Medical Question Answering using Classification model 1463-1473 PDF
  Sukomal Pal, Arvind Agrawal
• SSN-MLRG at Text to Picto 2024 : A BERT-Based Approach for Mapping French Sentences to Pictogram Terms 1474-1479 PDF
  T. T. Mirnalinee, Bhavana Anand, Themozhi J, Charumathi P, Shreyas Sai R
• AI Multimedia Lab at ImageCLEFmedical GANs 2024: Deep Learning Approaches for Analyzing Synthetic Medical Images 1480-1489 PDF
  Mihai Gabriel Constantin, Mihai Dogariu, Alexandra-Georgiana Andrei, Bogdan Ionescu
• Medical Image Captioning using CUI-based Classification and Feature Similarity 1490-1499 PDF
  Tetsuya Asakawa, Kazuki Shimizu, Kei Nomura, Masaki Aono
• KDE-med-lab at ImageCLEF 2024: Identify data and detect generative models using CNN by lung segmentation based on U-net 1500-1507 PDF
  Tetsuya Asakawa, Kazuki Shimizu, Kei Nomura, Masaki Aono
• Concept Detection and Caption Prediction of Radiology Images Using Convolutional Neural Networks 1508-1516 PDF
  Prabavathy Balasundaram, Pradeep Km, Oviasree Sampath, Karthikeyan Swaminathan
• Evaluation of the Privacy of Images Generated by ImageCLEFmedical GANs 2024 Based on Similarity Methods 1517-1524 PDF
  Shitong Cao, Xiaobing Zhou
• VisualT5: Multitasking Caption and Concept Prediction with Pre-trained ViT, T5 and Customized Spatial Attention in Radiological Images 1525-1532 PDF
  Diedre Carmo, Letícia Rittner, Roberto A. Lotufo
• MMCP Team at ImageCLEFmed MEDVQA-GI 2024 Task: Diffusion Models for Text-to-Image Generation of Colonoscopy Images 1533-1544 PDF
  Elena Tutubalina, Mikhail Chaichuk
• VisionQAries at MEDIQA-MAGIC 2024: Small Vision Language Models for Dermatological Diagnosis 1545-1551 PDF
  Julia Klos, Maciej Morawski, Patrycja Cieplicka
• SSNMLRGKSR at ImageCLEFmedical Caption 2024: Medical Concept Detection using DenseNet-121 with MultiLabelBinarizer 1552-1559 PDF
  Noor Mohamed Sheerin Sitara, Kavitha Srinivasan, Ramyaa Dhinagaran
• Advancing AI-Powered Medical Image Synthesis: Insights from MedVQA-GI Challenge Using CLIP, Fine-Tuned Stable Diffusion, and Dream-Booth + LoRA 1560-1578 PDF
  Md Mahmudur Rahman 0003, Ojonugwa Oluwafemi Ejiga Peter, Fahmi Khalifa
• Text-To-Picto using Lexical Simplification 1579-1584 PDF
  Mirunalini Palaniappan, Abbhinav Elliah, Ananth Narayanan P, Bhuvan S
• Fingerprint Identification of Generative Models Using a MultiFormer Ensemble Approach 1585-1598 PDF
  Fahmi Khalifa, Mahmudul Hoque, Md Mahmudur Rahman 0003, Md. Rakibul Hasan (disambiguation), Md. Ismail Siddiqi Emon
• YuanAI at MEDIQA-MAGIC 2024: Improving Medical VQA Performance through Parameter-Efficient Fine-Tuning 1599-1607 PDF
  Hsian-Hong Fu, Hsien-Cheng Huang
• KDE Lab at ImageCLEFmedical GANs 2024 1608-1612 PDF
  Tetsuya Asakawa, Masaki Aono, Kei Nomura, Kazuki Shimizu, Shota Fukuyama
• Detecting Training Data and Generative Model Fingerprints in Synthetic CT Scans Using Machine Learning 1613-1618 PDF
  Amilcare Gentili
• Medical Image Interpretation with Large Multimodal Models 1619-1639 PDF
  Mahmudul Hoque, Fahmi Khalifa, Md. Ismail Siddiqi Emon, Md. Rakibul Hasan (disambiguation), Md Mahmudur Rahman 0003
• Identifying Training Data "Fingerprints" Using Border Enhancing Image Processing Methods and Their Ensemble 1640-1644 PDF
  Masaki Aono, Kei Nomura, Kazuki Shimizu, Koki Inoue, Tetsuya Asakawa
• Predicting Captions and Detecting Concepts for Medical Images: Contributions of the DBS-HHU Team to ImageCLEFmedical Caption 2024 1645-1655 PDF
  Stefan Conrad 0001, Heiko Kauschke, Kirill Bogomasov
• A Transformer Based Approach for Text-to-Picto Generation 1656-1661 PDF
  Mirunalini Palaniappan, Jothir Aditya R. K, Avaneesh Koushik, Jithu Morrison S
• Analyzing Generated Images using Machine Learning 1662-1667 PDF
  Diana Miranda, Aparna Rane, Bipin Naik
• Automatic Medical Concept Detection on Images: Dividing the Task into Smaller Ones 1668-1680 PDF
  Fernando Martínez-Reyes, Axel Moncloa-Muro, Graciela María de Jesús Ramírez Alonso
• DS@BioMed at ImageCLEFmedical Caption 2024: Enhanced Attention Mechanisms in Medical Caption Generation through Concept Detection Integration 1681-1694 PDF
  Triet Minh Thai, Nhi Ngoc-Yen Nguyen, Tan Nhat Do, Phuong Dieu Nguyen, Thien B. Nguyen-Tat, Huy Le Tu
• UIT-DarkCow team at ImageCLEFmedical Caption 2024: Diagnostic Captioning for Radiology Images Efficiency with Transformer Models 1695-1710 PDF
  Dan Quang Tran, Thien B. Nguyen-Tat, Nhat-Hao Nguyen-Dang, Thang Kien-Bao Nguyen, Huy Quang Pham, Quan Van Nguyen
• UIT-2Q2T at ImageCLEFmedical 2024 Caption: Multimodal medical image captioning using Bootstrapping Language-Image Pre-training 1711-1719 PDF
  Quang A. D. D. Hoang, Thien B. Nguyen-Tat, Trinh K. Nguyen, Quan T. Phan, Thien V. Phan
• Leveraging Diverse CNN Architectures for Medical Image Captioning: DenseNet-121, MobileNetV2, and ResNet-50 in ImageCLEF 2024 1720-1728 PDF
  Shashaank Vinoth, Thomas Abraham Joseph Velankanni, Rahul Natesh Gopalakrishnan, Sriram Ram, Aastick Amirteswar Balakumar, Lekshmi Kalinathan
• AUEB NLP Group at ImageCLEFmedical Caption 2024 1729-1745 PDF
  Ion Androutsopoulos, Anna Chatzipapadopoulou, Marina Samprovalaki, Panagiotis Kaliosis, Foivos Charalampakos, John Pavlopoulos, Georgios Moschovis
• Classification of Real and Generated Images Based on Feature Similarity 1746-1754 PDF
  Huihui Tang, Hancheng Wang, Jining Chen
• GAN-Amis: Evaluating Clustering of GAN-Generated Medical Images Using Custom and Pre-trained CNN Architectures to Identify GAN Fingerprints 1755-1762 PDF
  Aarti Lad, Arnav Desai, Aman Upganlawar
• PCLmed: Champion Solution for ImageCLEFmedical 2024 Caption Prediction Challenge via Medical Vision-Language Foundation Models 1763-1774 PDF
  Bang Yang, Yuexian Zou, Yue Yu 0001, Tong Zhang 0017
• Overview of the CLEF 2024 JOKER Task 1: Humour-aware Information Retrieval 1775-1785 PDF
  Anne-Gwenn Bosser, Liana Ermakova, Adam Jatowt, Tristan Miller
• Overview of the CLEF 2024 JOKER Task 2: Humour Classification According to Genre and Technique 1786-1799 PDF
  Anne-Gwenn Bosser, Liana Ermakova, Victor Manuel Palma-Preciado, Grigori Sidorov, Adam Jatowt, Tristan Miller
• Overview of the CLEF 2024 JOKER Task 3: Translate puns from English to French 1800-1810 PDF
  Anne-Gwenn Bosser, Liana Ermakova, Adam Jatowt, Tristan Miller
• JOKER Track @ CLEF 2024: the Jokesters' approaches for retrieving, classifying, and translating wordplay 1811-1817 PDF
  Harouna Baguian, Huynh Nina Ashley
• University of Split and University of Malta (Team AB&DPV) at the CLEF 2024 JOKER Track: From ‘LOL’ to ‘MDR’ Using Artificial Intelligence Models to Retrieve and Translate Puns 1818-1825 PDF
  Antonia Bartulovic, Dóra Paula Váradi
• PunDerstand @ CLEF JOKER 2024: Who’s Laughing Now? Humor Classification by Genre & Technique 1826-1833 PDF
  Ryan Rony Dsilva, Nidhi Bhardwaj
• Working Notes of CLEF 2024: Effective Humor Analysis and Translation 1834-1840 PDF
  Petra Vucic, Regina Elagina
• ORPAILLEUR & SyNaLP at CLEF 2024 Task 2: Good Old Cross Validation for Large Language Models Yields the Best Humorous Detection 1841-1856 PDF
  Gaël Guibon, Pierre Epron, Miguel Couceiro
• CLEF 2024 Joker Task 1: Exploring Pun Detection Using The T5 Transformer Model 1857-1861 PDF
  Adrian-Gabriel Chifu, Arina Gepalova, Sébastien Fournier
• Thinking, Fast and Slow: From the Speed of FastText to the Depth of Retrieval Augmented Large Language Models For Humour Classification 1862-1867 PDF
  Marek Suppa, Jana Viktória Kováciková
• CLEF 2024 JOKER Tasks 1-3: Humour identification and classification 1868-1875 PDF
  Rowan Mann, Tomislav Mikulandric
• CLEF 2024 JOKER Task 2 : Using RoBERTa and Bert-uncased for Humour Classification According to Genre and Technique 1876-1879 PDF
  Jayasimman J, Sarvesh Narayanan, Shiva Ganesh V
• NLPalma Joker 2024: Yet, no Humor with Humorousness - Task 2 Humour Classification According to Genre and Technique 1880-1888 PDF
  Victor Manuel Palma-Preciado, Grigori Sidorov, Carolina Palma Preciado
• Comparative Evaluation of Humour Translation from English to Spanish: A Study with BLOOM and Googletrans 1889-1894 PDF
  Olga Popova
• Vayam Solve Kurmaha @ CLEF 2024: Task 2: Humor Classification according to Genre and Technique using BERT Embeddings and Transformers 1895-1901 PDF
  Lakshmi Priya S, Shwetha S, Shreedevi Seluka Balaji, Surabhi Kamath, Srinidhi Lakshmi Narayanan, Dhannya S. M, Sai Nikitha N. S. R
• CLEF 2024 JOKER Task 2: Using BERT and Random Forest Classifier for Humor Classification According to Genre and Technique 1902-1908 PDF
  M. Saipranav, Gautham Narayan G, Jaswanth Sridharan, Rajalakshmi Sivanaiah, Samyuktaa Sivakumar, T. T. Mirnalinee, Angel Deborah S
• University of Amsterdam at the CLEF 2024 Joker Track 1909-1922 PDF
  Mick Cazemier, Jaap Kamps, Luc Buijs, Emma Schuurman
• Team Humour Insights at JOKER 2024 Task 2: Humour Classification According To Genre And Technique 1923-1932 PDF
  Rakshith Subramanian, Vaishnavi S, B. Bharathi (disambiguation)
• Humour Classification by Fine-tuning LLMs: CYUT at CLEF 2024 JOKER Lab Subtask Humour Classification According to Genre and Technique 1933-1947 PDF
  Tsz-Yeung Lau, Yu-Feng Huang, Shih-Hung Wu
• Overview of BirdCLEF 2024: Acoustic identification of under-studied bird species in the Western Ghats 1948-1957 PDF
  Robin Vv, Hervé Goëau, Alexis Joly, Hervé Glotin, Akshay Anand, Vijay Ramesh, Suyash Sawant, Viral Joshi, Harikrishnan Cp, Meghana Srivathsa, Chiti Arvind, Holger Klinck, Stefan Kahl, Robert Planqué, Willem-Pier Vellinga, Tom Denton
• Overview of FungiCLEF 2024: Revisiting Fungi Species Recognition Beyond 0-1 Cost 1958-1965 PDF
  Milan Sulc, Lukás Picek, Jiri Matas
• Overview of GeoLifeCLEF 2024: Species Composition Prediction with High Spatial Resolution at Continental Scale using Remote Sensing 1966-1977 PDF
  Joaquim Estopinan, Alexis Joly, Pierre Bonnet, Rémi Palard, Théo Larcher, César Leblanc, Benjamin Deneu, Lukás Picek, Christophe Botella, Diego Marcos, Maximilien Servajean
• Overview of PlantCLEF 2024: Multi-species Plant Identification in Vegetation Plot Images 1978-1988 PDF
  Alexis Joly, Hervé Goëau, Pierre Bonnet, Vincent Espitalier
• Overview of SnakeCLEF 2024: Revisiting Snake Species Identification in Medically Important Scenarios 1989-2000 PDF
  Andrew Durso, Marek Hrúz, Lukás Picek
• Combining Present-Only and Present-Absent Data with Pseudo-Label Generation for Species Distribution Modeling 2001-2008 PDF
  Tai Peng, Chu-Song Chen, Weihua Li (disambiguation), Yi-Chia Chen
• Multi-modal Feature Fusion Networks for GeoLifeCLEF 2024 2009-2015 PDF
  Jiahao Sun (disambiguation), Zehua Cheng, Wei Dai (disambiguation)
• Fine-Grained Classification for Poisonous Fungi Identification with Transfer Learning 2016-2026 PDF
  Christopher Chiu, Maximilian Heil, Teresa Kim, Anthony Miyaguchi
• Patch-wise Inference using Pre-trained Vision Transformers: NEUON Submission to PlantCLEF 2024 2027-2043 PDF
  Hamza Ahmed Ishrat, Sophia Chulif, Yang Loong Chang, Sue Han Lee
• Methods for Training Convolutional Neural Networks to Identify Bird Species in Complex Soundscape Recordings 2044-2052 PDF
  Konstantin Dmitriev
• Generalizable Training Techniques for Fine-Grained Long-Tailed Image Recognition: Transferring Methods Optimized for FungiCLEF 2024 to SnakeCLEF 2024 2053-2065 PDF
  Jack N. Etheredge
• OpenWGAN-GP for Fine-Grained Open-Set Fungi Classification 2066-2082 PDF
  Jack N. Etheredge
• Utilising DINOv2 for Domain Adaptation in Vegetation Plot Analysis 2083-2092 PDF
  Simon McLoughlin, Stephen Foy
• Multi-Label Plant Species Classification with Self-Supervised Vision Transformers 2093-2102 PDF
  Murilo Gustineli, Ian Stalter, Anthony Miyaguchi
• Domain Adaption for Birdcall Recognition: Progressive Knowledge Distillation with Semi-Supervised and Self-Supervised Soundscape Labeling 2103-2109 PDF
  Lihang Hong
• Improving Bird Recognition using Pseudo-Labeled Recordings from the Target Location 2110-2118 PDF
  Mario Lasseck
• Tighnari: Multi-modal Plant Species Prediction Based on Hierarchical Cross-Attention Using Graph-Based and Vision Backbone-Extracted Features 2119-2143 PDF
  Muyan Wan, Penghao Jiang, Zerui Tao, Haixu Liu, Qiuzhuang Sun
• Tile Compression and Embeddings for Multi-Label Classification in GeoLifeCLEF 2024 2144-2157 PDF
  Anthony Miyaguchi, Mark McDuffie, Patcharapong Aphiwetsa
• Transfer Learning with Pseudo Multi-Label Birdcall Classification for DS@GT BirdCLEF 2024 2158-2169 PDF
  Ashley Kim, Adrian Cheung, Murilo Gustineli, Anthony Miyaguchi
• Transfer Learning with Self-Supervised Vision Transformers for Snake Identification 2170-2177 PDF
  Ryan Lundqvist, Austin Fischer, Anthony Miyaguchi, Murilo Gustineli
• Bird-Species Audio Identification, Ensembling of EfficientNet-B0 and Pre-trained EfficientNet-B1 model 2178-2187 PDF
  Aaditya Porwal
• Exploring Biodiversity: A Multi-Model Approach to Multi-Label Plant Species Prediction 2188-2200 PDF
  Darren Rawlings, Tim Chopard
• TUC Media Computing at BirdCLEF 2024: Improving Birdsong Classification Through Single Learning Models 2201-2208 PDF
  Arunodhayan Sampath Kumar, Tobias Schlosser, Danny Kowerko
• Do Not Lose to Losses for SnakeCLEF2024 2209-2214 PDF
  Matej Sieber, Tomas Zelezný
• Multimodal networks for Species Distribution Modeling 2215-2222 PDF
  Aman R. Syayfetdinov
• Say No to the Poisonous Fungi: An Effective Strategy for Reducing 0-1 Cost in FungiCLEF2024 2223-2233 PDF
  Xiu-Shen Wei, Peng Wang 0107, Lin Zhao (disambiguation), Bao-Feng Tan, Yangyang Li (disambiguation)
• Multibranch Co-training to Mine Venomous Feature Representation: A Solution to SnakeCLEF2024 2234-2243 PDF
  Yong Li 0032, Peng Wang 0107, Yi-Chao Zhou, Bao-Feng Tan, Yangyang Li (disambiguation), Xiu-Shen Wei
• Addressing the Challenges of Domain Shift in Bird Call Classification for BirdCLEF 2024 2244-2259 PDF
  Kristóf Sándor, Emiel Witting, Cahit Tolga Kopar, Hugo de Heer, Jeffrey Lim
• Poison-Aware Open-Set Fungi Classification: Reducing the Risk of Poisonous Confusion 2260-2266 PDF
  Jürgen Beyerer, Philipp Thelen, Stefan Wolf (disambiguation)
• Extended Overview of the CLEF 2024 LongEval Lab on Longitudinal Evaluation of Model Performance 2267-2289 PDF
  Maria Liakata, Philippe Mulhem, Lorraine Goeuriot, Martin Popel, Florina Piroi, Romain Deveaud, Pablo Medina-Alias, Arkaitz Zubiaga, Rabab Alkhalifa, David Iommi, Hsuvas Borkakoty, Alaa El-Ebshihy, Petra Galuscáková, Harish Tayyar Madabushi, Tobias Fink, Luis Espinosa Anke, Gabriela González Sáez
• SEUPD@CLEF: Team Kalu on improving Search Engine Performance with Query Expansion and Re-Ranking Approach 2290-2303 PDF
  Akan Akysh, Nicola Ferro 0001, Kimia Abedini, Arwa Fahoud
• Team OpenWebSearch at CLEF 2024: LongEval 2304-2313 PDF
  Daria Alexander, Arjen P. de Vries, Matthias Hagen, Martin Potthast, Ferdinand Schlatt, Gijs Hendriksen, Maik Fröbe, Djoerd Hiemstra
• SEUPD@CLEF: Team DAM on Reranking Using Sentence Embedders 2314-2335 PDF
  Alberto Basaglia, Nicola Ferro 0001, Andrea Stocco 0003, Milica Popovic
• SEUPD@CLEF: Team MOUSE on Enhancing Search Engines Effectiveness with Large Language Models 2336-2355 PDF
  Francesco Luigi De Faveri, Filippo Franceschini, Lorenzo Cazzador, Samuel Piron, Lorenzo Pamio, Nicola Ferro 0001
• SEUPD@CLEF: Team IRIS on Temporal Evolution of Query Expansion and Rank Fusion Techniques Applied to Cross-Encoder Re-Rankers 2356-2383 PDF
  Filippo Galli, Riccardo Zuech, Manuel Rigobello, Michela Schibuola, Nicola Ferro 0001
• Team Galápagos Tortoise at LongEval 2024: Neural Re-Ranking and Rank Fusion for Temporal Stability 2384-2395 PDF
  Johannes Franke, Jan Heinrich Merker, Marlene Gründel, Malte Weber
• Leveraging Prior Relevance Signals in Web Search 2396-2406 PDF
  Timo Breuer 0002, Jüri Keller, Philipp Schaer
• Analyzing the Effectiveness of Listwise Reranking with Positional Invariance on Temporal Generalizability 2407-2423 PDF
  Seung-won Hwang, Soyoung Yoon, Jongyoon Kim
• Overview of the Multi-Author Writing Style Analysis Task at PAN 2024 2424-2431 PDF
  Maximilian Mayerl, Eva Zangerle, Benno Stein 0001, Martin Potthast
• Overview of the Multilingual Text Detoxification Task at PAN 2024 2432-2461 PDF
  Xintong Wang 0001, Animesh Mukherjee 0001, Alexander Panchenko, Florian Schneider 0001, Elisei Stakovskii, Naquee Rizwan, Daniil Moskovskiy, Nikolay Babakov, Daryna Dementieva, Abinew Ali Ayele, Alisa Smirnova, Dmitry Ustalov, Seid Muhie Yimam, Ashraf Elnagar
• Overview of the Oppositional Thinking Analysis PAN Task at CLEF 2024 2462-2485 PDF
  Berta Chulvi, Francisco M. Rangel Pardo, Xavier Bonet Casals, Damir Korencic, Paolo Rosso, Mariona Taulé
• Overview of the “Voight-Kampff” Generative AI Authorship Verification Task at PAN and ELOQUENT 2024 2486-2506 PDF
  Martin Potthast, Jussi Karlgren, Benno Stein 0001, Evangelia Gogoulou, Aarne Talman, Luise Dürlich, Janek Bevendorff, Matti Wiegmann, Efstathios Stamatatos
• Team Deloitte at PAN: A Novel Approach for Generative AI Text Detection 2507-2510 PDF
  Sanmitra Bhattacharya, Edward Bowen, Harika Abburi, Balaji Veeramani, Nirmala Pudota
• Detection of Conspiracy vs. Critical Narratives and Their Elements using NLP 2511-2520 PDF
  Aish Albladi, Cheryl D. Seals
• Oppositional Thinking Analysis: Conspiracy Theories vs Critical Thinking Narratives 2521-2526 PDF
  Prabavathy Balasundaram, Pradeep Km, Oviasree Sampath, Karthikeyan Swaminathan
• Team ap-team at PAN: LLM Adapters for Various Datasets 2527-2535 PDF
  Andrey V. Grabovoy, German Gritsai, Galina Boeva
• Enhancing Human-Machine Authorship Discrimination in Generative AI Verification Task with BERT and Augmented Data 2536-2540 PDF
  Biao Liu (disambiguation), Yong Han (disambiguation), Jingyan Ye, Haojie Cao, Zhongyuan Han
• Integrating Dual BERT Models and Causal Language Models for Enhanced Detection of Machine-Generated Texts 2541-2546 PDF
  Leilei Kong, Jitong Chen
• Team Chen at PAN: Integrating R-Drop and Pre-trained Language Model for Multi-author Writing Style Analysis 2547-2553 PDF
  Yusheng Yi, Yong Han (disambiguation), Zhaotian Chen
• DSVS at PAN 2024: Ensemble Approach of Transformer-based Language Models for Analyzing Conspiracy Theories Against Critical Thinking Narratives 2554-2565 PDF
  Hiram Calvo, Edgardo Manuel Felipe Riverón, David Vázquez 0003, Brian Herrera, Sergio Damián, Cornelio Yáñez-Márquez
• A Study on NLP Model Ensembles and Data Augmentation Techniques for Separating Critical Thinking from Conspiracy Theories in English Texts 2566-2571 PDF
  Ángel Panizo, Iñaki del Campo Sánchez-Hermosilla, David Camacho
• Automatic Identification of Conspiracy Theories Using BERT 2572-2575 PDF
  Eusebio Ricárdez Vázquez, Daniel Yacob Espinosa, Grigori Sidorov
• Linguistic_Hygenist at PAN 2024 TextDetox: HybridDetox - A Combination of Supervised and Unsupervised Methods for Effective Multilingual Text Detoxification 2576-2584 PDF
  M. Taimoor Khan, Hajira Jabeen, Susmita Gangopadhyay
• BLGAV：Generative AI Author Verification Model Based on BERT and BiLSTM 2585-2592 PDF
  Wenyin Yang, Linjiu Guo, Jinli Ruan, Li Ma 0011
• A Machine-Generated Text Detection Model Based on Text Multi-Feature Fusion 2593-2602 PDF
  Zhongyuan Han, Haoyang Chen (disambiguation), Mingcan Guo, Jiangao Peng
• Detection of conspiracy-related messages in Telegram with anonymized named entities 2603-2612 PDF
  Santiago González-Silot, Eugenio Martínez-Cámara, Juan Gómez-Romero, Miguel Molina-Solana, Andrés Montoro-Montarroso
• An Oppositional Thinking Analysis Method Using BERT-based Model with BiGRU 2613-2618 PDF
  Zhongyuan Han, Mingcan Guo, Jiangao Peng, Qingbiao Hu, Chang Liu (disambiguation)
• Author Authentication of Generative AI Based on Bert by Regularization Method 2619-2626 PDF
  Changle Zhong, Baijian Huang, Kai Yan (disambiguation), Yong Han (disambiguation)
• Conspiracy Theory Text Classification Based on CT-BERT and BETO Models 2627-2631 PDF
  Zhongyuan Han, Ruihao Zhu, Jiahong Huang, Mingcan Guo, Kaiyin Sun
• Generative AI Authorship Verification Of Tri-Sentence Analysis Base On The Bert Model 2632-2637 PDF
  Yonglan Li, Jijie Huang, Man Luo (disambiguation), Yang Chen (disambiguation)
• Generative AI Authorship Verification Based on Contrastive Learning and Domain Adaptation 2638-2644 PDF
  Kaicheng Huang, Haoliang Qi, Kai Yan (disambiguation)
• Authorial Language Models For AI Authorship Verification 2645-2652 PDF
  Weihang Huang, Jack Grieve
• Team Text Understanding and Analysis at PAN: Utilizing BERT Series Pre-training Model for Multi-Author Writing Style Analysis 2653-2657 PDF
  Leilei Kong, Yingzhou Huang
• DeBERTa-v3 with R-Drop regularization for Multi-Author Writing Style Analysis 2658-2664 PDF
  Leilei Kong, Zhijian Huang
• Small Language Models and Large Language Models in Oppositional thinking analysis: Capabilities, Biases and Challenges 2665-2675 PDF
  Álvaro Huertas-García, Carlos Martí-González, Enrique De Miguel Ambite, Javier Muñoz
• Team karami-sh at PAN: Transformer-based Ensemble Learning for Multi-Author Writing Style Analysis 2676-2681 PDF
  Mohammad Karami Sheykhlan, Saleh Kheiri Abdoljabbar, Mona Nouri Mahmoudabad
• Team karami-kheiri at PAN: Enhancing Machine-Generated Text Detection with Ensemble Learning Based on Transformer Models 2682-2687 PDF
  Mohammad Karami Sheykhlan, Saleh Kheiri Abdoljabbar, Mona Nouri Mahmoudabad
• Team Gladiators at PAN: Improving Author Identification: A Comparative Analysis of Pre-Trained Transformers for Multi-Author Classification 2688-2694 PDF
  Mohit Rai, Faisal Alvi, Syed Jahania Shah, Khuzaima Ali Khan, Areeb Adnan Khan, Abdul Samad (disambiguation)
• Team OpenFact at PAN 2024: Fine-Tuning BERT Models with Stylometric Enhancements 2695-2703 PDF
  Ewelina Ksiezniak, Marcin Sawinski, Krzysztof Wecel
• Generative AI Authorship Verification based on ChatGLM 2704-2709 PDF
  Guo Niu, Yuexia Zhou, Haotian Lei, Xiangyu Liu (disambiguation), Yan Zhou (disambiguation)
• Fine-Tuned Reasoning for Writing Style Analysis 2710-2715 PDF
  Yuexia Zhou, Xiaofeng Liang, Yan Zhou (disambiguation), Xiangyu Liu (disambiguation), Fanzhi Zeng
• NYCU-NLP at PAN 2024: Integrating Transformers with Similarity Adjustments for Multi-Author Writing Style Analysis 2716-2721 PDF
  Tzu-Mi Lin, Yu-Hsin Wu, Lung-Hao Lee
• Voight-Kampff Generative AI Authorship Verification Based on T5 2722-2727 PDF
  Fanzhi Zeng, Yuexia Zhou, Zhaojian Lin, Xiangyu Liu (disambiguation), Yan Zhou (disambiguation)
• A Verifying Generative Text Authorship Model With Regularized Dropout 2728-2734 PDF
  Zijie Lin, Miaoling Chen, Jiangao Peng, Kaiyin Sun, Shuyi Zhang (disambiguation), Zhongyuan Han, Leilei Kong
• Team nlpln at PAN 2024: An Approach to Classifying Conspiratorial and Critical Public Health Narratives With Zero-shot and Sequence Labeling 2735-2743 PDF
  Zhongyuan Han, Haojie Cao, Biao Liu (disambiguation)
• Team Liuc0757 at PAN: A Writing Style Embedding Method Based on Contrastive Learning for Multi-Author Writing Style Analysis 2744-2749 PDF
  Zhongyuan Han, Chang Liu (disambiguation), Qingbiao Hu, Haoyang Chen (disambiguation)
• Team foshan-university-of-guangdong at PAN: Adaptive Entropy-Based Stability-Plasticity for Multi-Author Writing Style Analysis 2750-2754 PDF
  Hui Chen (disambiguation), Xurong Liu, Jiajun Lv
• AI Text Detection Method Based on Perplexity Features with Strided Sliding Window 2755-2760 PDF
  Leilei Kong, Xurong Liu
• BaselineAvengers at PAN 2024: Often-Forgotten Baselines for LLM-Generated Text Detection 2761-2768 PDF
  Ferdinand Schlatt, Nailia Mirzakhmedova, Ludwig Lorenz, Funda Zeynep Aygüler
• Multilingual Text Detoxification Using Google Cloud Translation and Post-Processing 2769-2774 PDF
  Zhongyu Luo, Man Luo (disambiguation), Aiguo Wang
• Meta-Contrastive Learning for Generative AI Authorship Verification 2775-2780 PDF
  Leilei Kong, Jiajun Lv, Yong Han (disambiguation)
• Team fosu-stu at PAN: Supervised Fine-Tuning of Large Language Models for Multi Author Writing Style Analysis 2781-2786 PDF
  Haoliang Qi, Jiajun Lv, Yusheng Yi
• Binary Battle: Leveraging Machine Learning and Transfer Learning Models to Distinguish between Conspiracy Theories and Critical Thinking 2787-2796 PDF
  Kavya Girish, Hosahalli Lakshmaiah Shashirekha, Sonith Divakaran, Sidharth Mahesh
• IUCL at PAN 2024: Using Data Augmentation for Conspiracy Theory Detection 2797-2806 PDF
  Sandra Kübler, Srikar Kashyap Pulipaka, Shrirang Mhalgi
• Team aida at PAN: Ensembling Normalized Log Probabilities 2807-2813 PDF
  Pablo Miralles-González, David Camacho, Alejandro Martín
• Marsan at PAN 2024 TextDetox: ToxiCleanse RL, Paving the Way for Toxicity-Free Online Discourse 2814-2823 PDF
  Maryam Najafi, Simon Colreavy-Donnelly, Ehsan Tavan
• AI Authorship Verification: An Ensembled Approach 2824-2828 PDF
  Abhinav Bindal, Jacob Wessell, Benjamin Ostrower
• A Multilingual Text Detoxification Method Based on Few-shot Learning and CO-STAR Framework 2829-2837 PDF
  Chang Liu (disambiguation), Biao Liu (disambiguation), Jiangao Peng, Jingyan Ye, Mingcan Guo, Huan Zhang (disambiguation), Zijie Lin, Zhongyuan Han, Yujiao Tang, Haoyang Chen (disambiguation)
• RoBERTa and Bi-LSTM for Human vs AI Generated Text Detection 2838-2842 PDF
  Panagiotis Petropoulos, Vasilis Petropoulos
• SomethingAwful at PAN 2024 TextDetox: Uncensored Llama 3 Helps to Censor Better 2843-2851 PDF
  Sergey Pletenev
• PAN 2024 Multilingual TextDetox: Exploring Cross-lingual Transfer Using Large Language Models 2852-2857 PDF
  Vitaly Protasov
• A Model Fusion Approach for Generative AI Authorship Verification 2858-2865 PDF
  Rui Qin (disambiguation), Haoliang Qi, Yusheng Yi
• SmurfCat at PAN 2024 TextDetox: Alignment of Multilingual Transformers for Text Detoxification 2866-2871 PDF
  Konstantin Zaytsev, Elisei Rykov, Alexandr Voronin, Ivan Anisimov
• Towards a Computational Framework for Distinguishing Critical and Conspiratorial Texts by Elaborating on the Context and Argumentation with LLMs 2872-2880 PDF
  Salar Mohtaj, Premtim Sahitaj, Vera Schmitt, Sebastian Möller 0001, Ariana Sahitaj
• Team riyahsanjesh at PAN: Multi-feature with CNN and Bi-LSTM Neural Network Approach to Style Change Detection 2881-2885 PDF
  Alamelu Mangai, Riya Sanjesh
• BCAV: A Generative AI Author Verification Model Based on the Integration of Bert and CNN 2886-2891 PDF
  Wenyin Yang, Guihong Sun, Li Ma (disambiguation)
• PAN 2024 Multilingual TextDetox: Exploring Different Regimes For Synthetic Data Training For Multilingual Text Detoxification 2892-2900 PDF
  Nikita Sushko
• MarSan at PAN: BinocularsLLM, Fusing Binoculars' Insight with the Proficiency of Large Language Models for Machine-Generated Text Detection 2901-2912 PDF
  Maryam Najafi, Ehsan Tavan
• Conspiracy vs Critical Thinking Using an Ensemble of Transformers with Data Augmentation Techniques 2913-2922 PDF
  Mariona Coll Ardanuy, Angelo Maximilian Tulbure
• Team iimasnlp at PAN: Leveraging Graph Neural Networks and Large Language Models for Generative AI Authorship Verification 2923-2929 PDF
  Helena Gómez-Adorno, Andric Valdez-Valenzuela
• SINAI at PAN 2024 Oppositional Thinking Analysis: Exploring the Fine-Tuning Performance of Large Language Models 2930-2940 PDF
  María Estrella Vallecillo Rodríguez, Arturo Montejo-Ráez, María Teresa Martín Valdivia
• SINAI at PAN 2024 TextDetox: Application of Chain of Thought with Self-Consistency Strategy in Large Language Models for Multilingual Text Detoxification 2941-2950 PDF
  María Estrella Vallecillo Rodríguez, Arturo Montejo-Ráez, María Teresa Martín Valdivia
• Team baker at PAN: Enhancing Writing Style Change Detection with Virtual Softmax 2951-2955 PDF
  Bingpei Wu, Haoliang Qi, Kai Yan (disambiguation), Yong Han (disambiguation)
• Team lm-detector at PAN: Can NLI be an Appropriate Approach to Machine-Generated Text Detection 2956-2962 PDF
  Guojun Wu, Qinghao Guan
• Team bingezzzleep at PAN: A Writing Style Change Analysis Model Based on RoBERTa Encoding and Contrastive Learning for Multi-Author Writing Style Analysis 2963-2968 PDF
  Qida Wu, Zhanhong Ye, Leilei Kong
• BertT: A Hybrid Neural Network Model for Generative AI Authorship Verification 2969-2975 PDF
  Zikai Zhao, Li Ma (disambiguation), Zepeng Wu, Wenyin Yang
• Team cnlp-nits-pp at PAN: Leveraging BERT for Accurate Authorship Verification: A Novel Approach to Textual Attribution 2976-2987 PDF
  Partha Pakray, Parthib Toppo, Annepaka Yadagiri, Dimpal Kalita, Ashish Kumar Bostan, Abhishek Ranjan (disambiguation)
• Continual Transfer Learning with Progress Prompt for Multi-Author Writing Style Analysis 2988-2994 PDF
  Leilei Kong, Chen Huang (disambiguation), Yutong Zhong, Zhanhong Ye
• Token Prediction as Implicit Classification for Generative AI Authorship Verification 2995-3001 PDF
  Leilei Kong, Zhen Huang (disambiguation), Yutong Zhong, Zhanhong Ye
• A Conspiracy Theory Text Detection Method based on RoBERTa and XLM-RoBERTa Models 3002-3006 PDF
  Zhongyuan Han, Zengyao Li, Haojie Cao, Jingyan Ye, Yaozu Tan, Zhengqiao Zeng, Runjin Huang
• AI Authorship Verification Based On Deberta Model 3007-3011 PDF
  Leilei Kong, Ye Zhu (disambiguation)
• Conspiracy Theory Detection using Transformers with Multi-task and Multilingual Approaches 3012-3020 PDF
  Leon Zrnic
• RAG Meets Detox: Enhancing Text Detoxification Using Open Large Language Models with Retrieval Augmented Generation 3021-3031 PDF
  Marek Suppa, Erik Rehulka
• QuantumCLEF 2024: Overview of the Quantum Computing Challenge for Information Retrieval and Recommender Systems at CLEF 3032-3053 PDF
  Maurizio Ferrari Dacrema, Nicola Ferro 0001, Andrea Pasin, Paolo Cremonesi
• Towards a Hyperparameter-Free QUBO Formulation for Feature Selection in IR 3054-3063 PDF
  Tiago Melo Almeida, Sérgio Matos
• Team qIIMAS on Task 2 - Clustering 3064-3074 PDF
  Helena Gómez-Adorno, William Alvarez-Giron, Jorge Tellezz-Torres, Javier Tovar-Cortes
• Team OpenWebSearch at CLEF 2024: QuantumCLEF 3075-3081 PDF
  Ferdinand Schlatt, Matthias Hagen, Martin Potthast, Gijs Hendriksen, Daria Alexander, Maik Fröbe
• Quantum Feature Selection 3082-3086 PDF
  Gersome Shimi, Jerin Mahibha C, Thenmozhi Durairaj (disambiguation)
• NICA at Quantum Computing CLEF Tasks 2024 3087-3095 PDF
  Sauleh Eetemadi, Aylin Naebzadeh
• CRUISE on Quantum Computing for Feature Selection in Recommender Systems 3096-3104 PDF
  Jie Li (disambiguation), Jiayang Niu, Yongli Ren, Ke Deng (disambiguation)
• Team QTB on Feature Selection Via Quantum Annealing and Hybrid Models 3105-3114 PDF
  Juan Carlos Martínez Santos, Edwin Puertas, Esteban Payares
• Overview of the CLEF 2024 SimpleText Task 1: Retrieve Passages to Include in a Simplified Summary 3115-3128 PDF
  Liana Ermakova, Stéphane Huet, Jaap Kamps, Eric SanJuan
• Overview of the CLEF 2024 SimpleText Task 2: Identify and Explain Difficult Concepts 3129-3146 PDF
  Hosein Azarbonyad, Jaap Kamps, Vanessa Bonato, Federica Vezzani, Liana Ermakova, Giorgio Maria Di Nunzio
• Overview of the CLEF 2024 SimpleText Task 3: Simplify Scientific Text 3147-3162 PDF
  Jaap Kamps, Valentin Laimé, Liana Ermakova, Helen McCombie
• Overview of the CLEF 2024 SimpleText Task 4: SOTA? Tracking the State-of-the-Art in Scholarly Publications 3163-3173 PDF
  Jennifer D'Souza 0001, Hamed Babaei Giglou, Salomon Kabongo, Yue Zhang (disambiguation)
• Team Sharingans at SimpleText: Fine-tuned LLM based approach to Scientific Text Simplification 3174-3181 PDF
  Owais Waheed, Faisal Alvi, Owais Aijaz, Hammad Sajid, Syed Muhammad Ali, Abdul Samad (disambiguation)
• University of Amsterdam at the CLEF 2024 SimpleText Track 3182-3194 PDF
  Jaap Kamps, Jan Bakker, Göksenin Yüksel
• University of Split and University of Malta (Team AB&DPV) at the CLEF 2024 SimpleText Track: Scientific Text Made Simpler Through the Use of Artificial Intelligence 3195-3205 PDF
  Dóra Paula Váradi, Antonia Bartulovic
• Enhancing Scientific Document Simplification through Adaptive Retrieval and Generative Models 3206-3229 PDF
  Zubair Afzal, Hosein Azarbonyad, George Tsatsaronis 0001, Artemis Çapari
• UNIPD@SimpleText2024: A Semi-Manual Approach on Prompting ChatGPT for Extracting Terms and Write Terminological Definitions 3230-3237 PDF
  Federica Vezzani, Giorgio Maria Di Nunzio, Elena Gallina
• AI Contributions to Simplifying Scientific Discourse in SimpleText 2024 3238-3245 PDF
  Petra Vucic, Regina Elagina
• Exploring the Latest LLMs for Leaderboard Extraction 3246-3260 PDF
  Salomon Kabongo, Jennifer D'Souza 0001, Sören Auer
• AIIR Lab Systems for CLEF 2024 SimpleText: Large Language Models for Text Simplification 3261-3273 PDF
  Shea Durgin, Nicholas Largey, Reihaneh Maarefdoust, Behrooz Mansouri
• CLEF 2024 SimpleText Tasks 1-3: Use of Llama-2 for Text Simplification 3274-3283 PDF
  Rowan Mann, Tomislav Mikulandric
• UZH Pandas at SimpleText2024: Multi-Prompt Minimum Bayes Risk with Diverse Prompts 3284-3287 PDF
  Tobias Fankhauser, Andrianos Michail, Pascal Severin Andermatt
• SINAI Participation in SimpleText Task 2 at CLEF 2024: Zero-shot Prompting on GPT-4-Turbo for Lexical Complexity Prediction 3288-3299 PDF
  César Espin-Riofrio, Arturo Montejo-Ráez, Jenny Ortiz-Zambrano
• AMATU@Simpletext2024: Are LLMs Any Good for Scientific Leaderboard Extraction? 3300-3316 PDF
  Alaa El-Ebshihy, Annisa Maulida Ningtyas, Moritz Staudinger, Florina Piroi, Allan Hanbury
• UBO NLP Report on the SimpleText track at CLEF 2024 3317-3340 PDF
  Liana Ermakova, Benjamin Vendeville, Pierre De Loor
• Overview of Touché 2024: Argumentation Systems 3341-3366 PDF
  Johannes Kiesel, Çagri Çöltekin, Martin Potthast, Henning Wachsmuth, Tomaz Erjavec, Benno Stein 0001, Bertrand De Longueville, Nikola Ljubesic, Theresa Reitis-Münstermann, Katja Meden, Mario Scharfbillig, Nailia Mirzakhmedova, Nicolas Handke, Maximilian Heinrich, Maik Fröbe, Matyás Kopp, Vaidas Morkevicius, Milad Alshomary, Nicolas Stefanovitch
• Team INSA Passau at Touché: Multi-lingual Parliamentary Speech Classification 3367-3378 PDF
  Anton Carlsson, Alaa Alhamzeh, Elöd Egyed-Zsigmond, Maud Andruszak, Yasser Otiefy, Johan Leydet
• Edward Said at Touché: Human Value Detection Using Transformers and Upsampling 3379-3383 PDF
  Claire Cardie, Aisha Nur Aydin, Shaden Shaar
• gerber at Touché: Ideology and Power Identification in Parliamentary Debates 2024 3384-3392 PDF
  Christian Gerber
• Pixel Phantoms at Touché: Ideology and Power Identification in Parliamentary Debates using Linear SVC 3393-3400 PDF
  Mirunalini Palaniappan, Janani Hariharakrishnan, Jithu Morrison S
• HTW-DIL at Touché: Multimodal Dense Information Retrieval for Arguments 3401-3406 PDF
  Tamás Janusko, Maik Thiele, Denis Keiling, Aaron Kämpf, Jessica Knick, David Schäfer
• SCaLAR NITK at Touché: Comparative Analysis of Machine Learning Models for Human Value Identification 3407-3413 PDF
  Chinta Tejdeep Reddy, Darshan R. K, Anand Kumar Madasamy, Praveen K
• JU_NLP_DID at Touché: An Attempt to Identify Aspects of Power from Parliamentary Debates 3414-3418 PDF
  Adnan Khurshid, Rajdeep Khaskel, Suchanda Datta, Dipankar Das (disambiguation)
• Hierocles of Alexandria at Touché: Multi-task & Multi-head Custom Architecture with Transformer-based Models for Human Value Detection 3419-3432 PDF
  Dimitrios Koutrintzes, Matthaios Zidianakis, Sotirios Legkas, Christina Christodoulou, Georgios Petasis, Maria Dagioglou
• Eric Fromm at Touché: Prompts vs FineTuning for Human Value Detection 3433-3446 PDF
  Meike Morren, Ranjan Mishra
• DS@GT at Touché: Image Search and Ranking via CLIP and Image Generation 3447-3450 PDF
  Patcharapong Aphiwetsa, Benjamin Ostrower
• Policy Parsing Panthers at Touché: Ideology and Power Identification in Parliamentary Debates 3451-3477 PDF
  Pablo Picazo-Sanchez, Oscar Palmqvist, Johan Jiremalm
• Trojan Horses at Touché: Logistic Regression for Classification of Political Debates 3478-3482 PDF
  Mirunalini Palaniappan, Diya Seshan, Deepak Chandar S, Avaneesh Koushik
• Vayam Solve Kurmaha at Touché: Power Identification in Parliamentary Speeches Using TF-IDF Vectorizer and SVM Classifier 3483-3488 PDF
  S. Shwetha, Lakshmi Priya S, Shreedevi Seluka Balaji, Surabhi Kamath, Srinidhi Lakshmi Narayanan, Dhannya S. M, Sai Nikitha N. S. R
• HALE Lab NITK at Touché 2024: A Hybrid Approach for Identifying Political Ideology and Power in Multilingual Parliamentary Speeches 3489-3495 PDF
  S. Sowmya Kamath, Simhadri Sevitha, Mauli Mehulkumar Patel
• Ssnites at Touché: Ideology and Power Identification in Parliamentary Debates using BERT Mode 3496-3502 PDF
  Mirunalini Palaniappan, Sripriya N, Keerthick V, Kaushik Ananth Kumar S, Kathir Kaman A
• Philo of Alexandria at Touché: A Cascade Model Approach to Human Value Detection 3503-3508 PDF
  Paolo Rosso, Mariona Coll Ardanuy, Víctor Yeste
• Arthur Schopenhauer at Touché 2024: Multi-Lingual Text Classification Using Ensembles of Large Language Models 3509-3517 PDF
  Hamza Yunis