FIRE 2025

Table of Contents

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• Overview of the First Shared Task on Prompt Recovery for Misinformation Detection (PROMID 2025) 1-14 PDF
  Gautam Kishore Shahi, Asha Hegde, Shrey Satapara, Parth Mehta, Sandip Modha, Debasis Ganguly, Durgesh Nandini, H L Shashirekha, Amit Kumar Jaiswal, Gabriella Pasi, Thomas Mandl
• Misinformation Detection in Social Media Texts and LLM Generated Text using Auxiliary Text Supervised Learning 15-25 PDF
  Kongqiang Wang, Peng Zhang, Qingli Tan
• Misinformation Detection in Multilingual Social Media Texts Using LLM-Based Translation Augmentation and DeBERTa Fine-Tuning 26-31 PDF
  Avinash Trivedi, Chindukuri Mallikarjuna
• A Social Media Misinformation Detection Model Integrating Semantic and Twitter Features 32-39 PDF
  Junwei Peng, Zijie Lin, Zhongyuan Han
• IndicBERTv2-MLM-only for Fine-Grained Misinformation Analysis in South Indian Languages 40-47 PDF
  N.V. Gokul, J. JeswinJoel, S. Gautham, J. Rajeswari
• A Lightweight Contrastive System for Misinformation Detection in Social Media Tweets 48-54 PDF
  Priyam Saha
• AURORA: Automated Understanding and Recognition of Omnilingual Misinformation Artefacts 55-62 PDF
  Kailasa Sai Charan, Utkrisht Suman, Roshan Jain, Jasneet Kaur, Shakshi Sharma
• Misinformation Detection in Russo-Ukrainian Conflict Tweets 63-70 PDF
  Thibault Ehrhart, Raphaël Troncy, Grégoire Burel, Harith Alani
• Misinformation Detection using ML 71-77 PDF
  Deepish Sharma, Yashvardhan Sharma
• Detecting 2022 Russo–Ukrainian Conflict Misinformation Using a Hybrid Transformer Approach 78-84 PDF
  Pratik Priyanshu
• Automated Detection of Misinformation on Twitter During the 2022 Russo–Ukrainian Conflict 85-88 PDF
  Sushma Kumari
• From Misrepresentation to Quantities: Labeling Misinformation Types in South Indian Language Summaries 89-100 PDF
  Rachana Nagaraju, Hosahalli Lakshmaiah Shashirekha
• Findings of the Shared Task on Multilingual Story Illustration: Bridging Cultures through AI Artistry (MUSIA) 101-112 PDF
  Krishna Tewari, Anshita Malviya, Supriya Chanda, Arjun Mukherjee, Sukomal Pal
• Leveraging Large Language Model(LLM) and V-LLM for Zero-Shot Multilingual Story Illustration 113-120 PDF
  Kishan Kachhadiya, Parth Patel
• Multilingual Story Illustration for MUSIA 2025 using One-Prompt-One-Story Image Generation 121-129 PDF
  Sharma Nandini Surendra, Divya
• NarrArt: Multilingual Story Illustration with AI for English and Hindi Narratives 130-138 PDF
  Mrinmoy Sadhukhan, Indrajit Bhattacharya, Paramartha Dutta
• Bridging Cultures through AI: The Art of Multilingual Storytelling 139-143 PDF
  Shazia Mannan, Asha Hegde, Sharal Coelho
• Findings of the Code-Mixed Information Retrieval from Social Media Data (CMIR) Shared Task at FIRE 2025 144-152 PDF
  Supriya Chanda, Krishna Tewari, Sukomal Pal
• Model Fusion for Bridging Linguistic Variability in Bengali-English Code-Mixed Information Retrieval 153-160 PDF
  Rachana Nagaraju, Hosahalli Lakshmaiah Shashirekha
• From Romanised to Relevant: Multistage Information Retrieval for Code-Mixed Multilingual Queries 161-175 PDF
  Lakshay Sawhney, Sumit Goswami
• LexiSemIR: A Two-Stage Re-ranking Framework with BM25 and Zero-Shot Bi-Encoder 176-185 PDF
  Swati Gupta, Tanusree Nath, Vedika Gupta, Manjari Gupta
• A Multi-Model Lexical Fusion Approach for English–Bengali Code-Mixed Information Retrieval 186-193 PDF
  Kunal Chakma, Subhajit Datta
• Code-Mixed IR: An Ensemble Approach to Robust Ranking Models 194-198 PDF
  Amrithkala M Shetty, Asha Hegde, Sharal Coelho
• Reciprocal Rank Fusion Based Hybrid Dense–Sparse Information Retrieval on Code-Mixed Banglish Social Media Text 199-207 PDF
  Burhanuddin Merchant, Ashwaq Khazi, Sheetal S. Sonawane
• CoLIR: Late Interaction based Code-Mixed Information Retrieval for English-Bengali language pair 208-214 PDF
  Devansh Shroff
• Decoding Benglish: Scalable Information Retrieval for Transliterated Code-Mixed Conversations 215-224 PDF
  Harsh Mishra, Ramya Sharma, Naina Yadav
• Overview of the shared task on Offensive Language Identification in Dravidian code-Mixed Languages 225-233 PDF
  Sripriya N, Bharathi Raja Chakravarthi, Thenmozhi Durairaj, Bharathi B, Prasanna Kumar Kumaresan, Subalalitha C N, Anusha M D, Parameshwar R Hegde, Deepthi Vikram
• A TriFusion Model for Offensive Language Detection in Dravidian Code-Mixed Text 234-240 PDF
  Raksha Adyanthaya, Rathnakara Shetty P
• DravidianCodeMix 2025: Comparative Study of Transformer-based Models for Offensive Content Detection in Tamil Malayalam Kannada and Tulu Code-Mixed Texts 241-248 PDF
  Santhiya P, Akshitha A V, Arul Murugan, Chandran T
• DravidianCodeMix 2025: Empirical Analysis of Classical Machine Learning Approaches in Tamil Malayalam and Tulu Code-Mixed Offensive Content Classification 249-256 PDF
  Shudapreyaa R S, Surya U S, Swetha M, Sandeep P S
• Multilingual Pretrained Models for Offensive Language Identification in Dravidian Code-Mixed Text 257-262 PDF
  Asha Hegde, Amrithkala M Shetty, Shazia Mannan, Sharal Coelho
• DravidianCodeMix 2025: Offensive Content Classification in Kannada–Tulu Code-Mixed Texts Using Classical Machine Learning 263-271 PDF
  Santhiya P, Anand S, Archna V, Debehaa J
• Exploring Classical Machine Learning and Deep Learning Approaches for Offensive Language Identification in Dravidian Code-Mixed Text 272-285 PDF
  Rachana Nagaraju, Hosahalli Lakshmaiah Shashirekha
• OffenSwitch: Decoding Toxicity in Dravidian Code-Mixing with Transformers 286-292 PDF
  Krishna Tewari, Supriya Chanda, K Abhinay Paul
• Overview of the Second Shared Task on Spoken Query Cross-Lingual Information Retrieval for Indic Languages SqCLIR at FIRE 2025 293-298 PDF
  Bhargav Dave, Prasenjit Majumder, Debasis Ganguly, Evangelos Kanoulas
• Spoken-Query Cross-Lingual Information Retrieval for the Indic Languages (SqCLIR) using BM25 and Indic-BERT 299-306 PDF
  Pranesh TT, Thamizhmathi KK, Bharathi B
• Overview of the IRSE track at FIRE 2025: Information Retrieval in Software Engineering 307-311 PDF
  Adwita Deshpande, Aritra Maji, Diganta Mondal, Partha Pratim Das, Paul D. Clough, Srijoni Majumdar
• Automated Classification of C Code Comment Quality with SVM and Naïve Bayes 312-318 PDF
  Kumar Shresth
• Enhanced Code Comment Relevance Classification Using Domain-Adaptive CodeBERT with Masked Language Modeling 319-325 PDF
  L. Simiyon Vinscent Samuel, Sundareswaran Rajaguru, Vijayaraaghavan K. S, A. Vijayalakshmi
• Identification of the Relevance of Comments in Codes Using Graph Neural Networks 326-331 PDF
  Durairaj Thenmozhi, Aadit P, Adithya S, Harshil Malisetty, Rohan R
• Applications of LLMs for Code Analysis 332-337 PDF
  Adwita Deshpande
• Investigating the Impact of Synthetic Data on Code Comment Quality Prediction: A Logistic Regression Study 338-344 PDF
  Subhajit Dutta
• An Empirical Study on Synthetic Data Augmentation for Code Comment Quality Classification 345-350 PDF
  Lakshay Khurana
• Automated Assessment of Code Comment Quality 351-356 PDF
  Hard Kapadia
• Categorizing Code Comments based on its Relevance for Code Readability 357-361 PDF
  Kashvi Aggarwal
• Using Silver-Standard Machine Learning Models to Determine Usefulness of C Comments 362-367 PDF
  Aritra Mitra
• Learning to Judge Code Comments: Machine Learning for Documentation Utility 368-374 PDF
  Diganta Mandal
• Scoring with Intelligence: Prompting GPT-3.5 Turbo for Better Code Retrieval 375-380 PDF
  Ritabrata Bharati
• Using SVM and Naïve Bayes Classifier to Assess the Utility of C Comments 381-386 PDF
  Anamitra Mukhopadhyay
• Leveraging Artificial Intelligence for Automated Software Documentation Assessment: A Machine Learning Approach to Code Comment Evaluation 387-397 PDF
  Aritra Maji
• Evaluating the Efficacy of Synthetic Data for Source Code Comment Classification 398-403 PDF
  Lakshya Yadav
• Generating Research Highlights from Scientific Literature: Findings from the FIRE 2025 SciHigh Track 404-413 PDF
  Tohida Rehman, Debarshi Kumar Sanyal, Samiran Chattopadhyay
• Leveraging Transformers for Structured Highlight Generation in Scientific Literature 414-421 PDF
  Rachana Nagaraju, Hosahalli Lakshmaiah Shashirekha
• Hybrid Transformer-Based Summarization for Scientific Highlight Generation Using the MixSub-SciHigh Dataset 422-435 PDF
  Harsh Mishra, Rama Kant Kumar, Naina Yadav
• Automatic Scientific Summarization: A Neural Approach to Research Highlight Generation 436-444 PDF
  Ayanika Samanta, Tohida Rehman
• Entity and Keyword Guided Highlight Generation from Scientific Abstracts Using Large Language Models 445-458 PDF
  Nishalini K, Sreenath K A, Anand Kumar M, Navya Binu
• Automating Scientific Highlight Generation with Transformer Models 459-468 PDF
  Sangita Singh, Navya Sinha, Jyoti Prakash Singh
• Highlight Generation from Scientific Papers Using XGBoost Regressor Model 469-479 PDF
  Papun Roy, Kamal Sarkar
• Transformer-based models for generating research highlights from scientific articles 480-488 PDF
  Gowni Bhavishya, Siba Sankar Sahu
• Knowledge Extraction: Pegasus-driven Summarization for Research Dissemination 489-494 PDF
  Asha Hegde, Sharal Coelho, Joiesmary D’Souza
• From Abstract to Highlight: Automatic Research Highlight Generation 495-503 PDF
  Anindita Bhattacharya, Tohida Rehman
• Overview of Cross-Lingual Mathematical Information Retrieval at FIRE 2025 504-510 PDF
  Ayushi Malik, Pankaj Dadure, Sahinur Rahman Laskar
• Enhancing Multilingual Mathematical Document Retrieval: A Hindi-to-English Translation and ColBERT-based Approach 511-517 PDF
  Ayush Sur, Venkatesh Shukla, Aditya Rai, Lucky Garg
• Math Beyond Language Barriers: Retrieving Mathematical Content using Sentence Transformers 518-523 PDF
  Sharal Coelho, Asha Hegde, Mohammed Zaher Taljeh, Amaan Ahmad
• MIRaCLE: Multilingual Information Retrieval with Cross-Lingual Embeddings for Mathematical Expressions 524-534 PDF
  Krishna Tewari, Supriya Chanda, Riti Tripathi
• Cross-Lingual Mathematical Information Retrieval with BM25 and LLM-based Pointwise Re-ranking 535-542 PDF
  Kishan Kachhadiya, Parth Patel
• Overview of the HASOC Track at FIRE 2025: Abusive Meme Identification — Shadows Behind the Laughter 543-557 PDF
  Koyel Ghosh, Mithun Das, Shubhankar Barman, Mwnthai Narzary, Saptarshi Saha, Animesh Mukherjee, Sandip Modha, Debasis Ganguly, Utpal Garain, Sylvia Jaki, Thomas Mandl
• Hate Speech and Offensive Content Identification in Memes in Bangla Hindi and Gujarati using Auxiliary Text Supervised Learning 558-573 PDF
  Kongqiang Wang, Qingli Tan
• Hate Speech and Offensive Content Identification in Memes in Hindi and Gujarati using BERT-Based Approach 574-585 PDF
  Peng Zhang, Gehao Lu
• Bodo Meme Classification using Multimodal Fusion and Oversampling in HASOC-2025 586-595 PDF
  Pankaj Dadure, Sourav Ghosh
• Hateful and Offensive Meme Detection in Multimodal Memes Dataset for Indo-Aryan Languages 596-607 PDF
  Aarsh Sarvaiya, Tripti Kumari, Ayan Das
• FusionGuard: Visual-Linguistic Representations for Multilingual Harmful Content Detection 608-617 PDF
  Arunabha Basak, Samujjal Choudhury, Anshita Malviya, Bidyut Kr. Patra, Pratik Chattopadhyay
• HASOC-Meme: Enhancing Hate Speech Recognition in Bengali Hindi Gujarati and Bodo Memes Using Multimodal Multitask Transformers 618-624 PDF
  Asha Hegde, Sharal Coelho, Amrithkala M Shetty
• FAST-HASOC 2025: Multimodal and Multilingual Approaches for Hate Speech and Offensive Content Detection in Hindi Memes 625-631 PDF
  Muhammad Rafi, Saif Ur Rehman Awan, Ramsha Jat, Aiman Falak, Fatimah Ansari, Ahmed Raza, Sagar Chabbriya
• Bridging Modalities for Hate Speech Detection in Memes 632-641 PDF
  Fadi Hassan, Evgenii Migaev, Md Saroar Jahan, Frank Mtumbuka
• Hate Speech and Offensive Content Identification in Memes in Bangla Hindi and Bodo 642-653 PDF
  Tanmoy Paul, Anupam Jamatia
• A Multi-Modal Ensemble Approach for Hate Speech and Offensive Content Detection in Indic Memes 654-665 PDF
  Radhika Bohra, Yashvardhan Sharma
• Multilingual Hate Speech Classification in Memes Using OCR-Extracted Text and Visual Features 666-677 PDF
  Subham Kumar Rai, Kunal Goswami, Gunjan Kumar, Sangita Singh, J.P. Singh
• A Transformer-based approach to Multimodal Hateful Meme Classification 678-687 PDF
  Sharad Prakash, Upkar Kumar Kedia, Kirti Kumari, Kushagra Prakash, Trishant Kumar
• Multimodal Hate Speech and Offensive Content Classification in Code-Mixed Indian Language Memes 688-694 PDF
  Sai Saketh Nandam, Anand Kumar Madasamy
• Towards Safer Social Media: Multimodal Hate Speech Detection in Memes across Diverse Indian Languages 695-707 PDF
  Rachana Nagaraju, Hosahalli Lakshmaiah Shashirekha
• SAViOR: Sentiment Sarcasm Abuse and Vulgarity in Online Realities (Memes) 708-717 PDF
  Krishna Tewari, Supriya Chanda, Aditya Namdeo, Sukomal Pal
• A Transformer-based model for hate speech detection in low resource Indian languages 718-729 PDF
  Jaimin Damor, Siba Sankar Sahu
• Overview of CryptOQA: Opinion Extraction and Question Answering from CryptoCurrency-Related Tweets Reddit and Youtube Posts 730-738 PDF
  Dhruv Kumar, Somrupa Sarkar, Koustav Rudra, Kripabandhu Ghosh
• Transformer-Based Multi-Task Text Classification of Cryptocurrency Social Media Text with DeBERTaV3-Small 739-752 PDF
  V. T. Rushi Kannan, Sara Renjit
• Hierarchical Opinion Classification using Large Language Models 753-772 PDF
  Shuvam Banerji Seal, Alok Mishra, Utkarsha Ghosh
• Transformer based Opinion Classification of Cryptocurrency Posts 773-778 PDF
  C.Jerin Mahibha, Wordson Robert, Gersome Shimi, Durairaj Thenmozhi
• Exploring Crypto Narratives: Developing Approaches for Opinion Extraction and Question Answering in Social Media Text 779-787 PDF
  Asha Hegde, Sharal Coelho, Krishna Tewari
• Crypto social media analysis: Deep learning framework for Text Classification and Question Answering 788-798 PDF
  Jay Vaghela, Siba Sankar Sahu
• Overview of CoLI-Dravidian 2025: Word-level Code-Mixed Language Identification in Dravidian Languages 799-805 PDF
  Asha Hegde, Fazlourrahman Balouchzahi, Sabur Butt, Sharal Coelho, Sudha V, Shashirekha Hosahalli Lakshmaiah, Ameeta Agrawal
• Dravidian Language Identification Model 806-813 PDF
  Sruthi Santhanam, Yashvardhan Sharma
• Exploring Language-Specific Characteristics for Word-level Language Identification in Dravidian Languages 814-825 PDF
  Rachana Nagaraju, H L Shashirekha
• Transformer Driven Word Level Classification of Dravidian Languages 826-834 PDF
  C.Jerin Mahibha, Wordson Robert, Gersome Shimi, Durairaj Thenmozhi
• Word-level Language Identification using Character-level Features 835-839 PDF
  Amaan Ahmad, Asha Hegde, Sharal Coelho
• GraMLID: GRU-Assisted Multilingual BERT for Word-Level Language Identification in Low-Resource Dravidian Texts 840-849 PDF
  Krishna Tewari, Supriya Chanda, Suhani Verma
• Towards Indian Intelligent Tourism Assistance: Design and Evaluation of the VATIKA QA Dataset 850-855 PDF
  Praveen Gatla, Anushka, Nabanita Sadhukhan, Rajesh Kumar Mundotiya
• VA-BO-INTERN: Adapting Small Language Models to Low-Resource Domains: A Case Study in Hindi Tourism QA 856-862 PDF
  Sandipan Majhi, Paheli Bhattacharya
• TIRTHA: Tourism Information Retrieval and Text-based Hindi Answering 863-870 PDF
  Krishna Tewari, Supriya Chanda, Aarya Chaturvedi
• VATIKA-QA: A Hybrid BERT-IndicBART Approach for Hindi Question Answering in Tourism Domain 871-879 PDF
  Prudvi Kumar Reddy Narreddi Subbannagari, Avanish S Velidi, Anand Kumar Madasamy
• VATIKA: A Hindi Machine Reading Comprehension Approach for Varanasi Tourism Question Answering using mT5 880-888 PDF
  Harsh Mishra, Naina Yadav, Nirbhay Kumar Tagore, Ramakant Kumar
• SVNIT_CSE: Building a question answering system for Hindi using word-embedding 889-899 PDF
  Ankur Jariwala, Siba Sankar Sahu
• Hindi Tourism QA System: Low-Resource Question Answering using MT5-small 900-905 PDF
  Asha Hegde, Sharal Coelho, Amrithkala M Shetty, Mohammed Zaher Taljeh
• MUCS@ - Question Answering in Hindi for Tourism: Evaluation of Transformer-Based Approaches on VATIKA 906-913 PDF
  Rachana Nagaraju, Hosahalli Lakshmaiah Shashirekha
• Varanasi Tourism in Question Answer System Track:IIIT SURAT @ FIRE’25 Shared Task 914-917 PDF
  Ritesh Kumar, Sumit Chand Jaiswal, Dhiraj Bhatia