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SemEval 2025: all accepted papers

329 papers · page 1 of 4 · the most cited first · ← SemEval 2025

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  1. 111DUT at SemEval-2025 Task 8:Hierarchical Chain-of-Thought Reasoning and Multi-Model Deliberation for Robust TableQA ↗Jiaqi Yao, Erchen Yu, Yicen Tian et al.
  2. ABCD at SemEval-2025 Task 9: BERT-based and Generation-based models combine with advanced weighted majority soft voting strategy ↗Le Duc Tai, Dang Van Thin
  3. AGHNA at SemEval-2025 Task 11: Predicting Emotion and Its Intensity within a Text with EmoBERTa ↗Moh. Abyan
  4. AILS-NTUA at SemEval-2025 Task 3: Leveraging Large Language Models and Translation Strategies for Multilingual Hallucination Detection ↗Dimitra Karkani, Maria Lymperaiou, George Filandrianos et al.
  5. AILS-NTUA at SemEval-2025 Task 4: Parameter-Efficient Unlearning for Large Language Models using Data Chunking ↗Iraklis Premptis, Maria Lymperaiou, George Filandrianos et al.
  6. AILS-NTUA at SemEval-2025 Task 8: Language-to-Code prompting and Error Fixing for Tabular Question Answering ↗Andreas Evangelatos, George Filandrianos, Maria Lymperaiou et al.
  7. AIMA at SemEval-2025 Task 1: Bridging Text and Image for Idiomatic Knowledge Extraction via Mixture of Experts ↗Arash Rasouli, Erfan Sadraiye, Omid Ghahroodi et al.
  8. AKCIT at SemEval-2025 Task 11: Investigating Data Quality in Portuguese Emotion Recognition ↗Iago A. Brito, Fernanda B. Färber, Julia S. Dollis et al.
  9. ATLANTIS at SemEval-2025 Task 3 : Detecting Hallucinated Text Spans in Question Answering ↗Catherine Kobus, Francois Lancelot, Marion-Cecile Martin et al.
  10. Advacheck at SemEval-2025 Task 3: Combining NER and RAG to Spot Hallucinations in LLM Answers ↗Anastasia Voznyuk, German Gritsai, Andrey Grabovoy
  11. Aestar at SemEval-2025 Task 8: Agentic LLMs for Question Answering over Tabular Data ↗Rishit Tyagi, Mohit Gupta, Rahul Bouri
  12. AlexNLP-MO at SemEval-2025 Task 8: A Chain of Thought Framework for Question-Answering over Tabular Data ↗Omar Mokhtar, Minah Ghanem, Nagwa El-Makky
  13. AlexUNLP-NB at SemEval-2025 Task 1: A Pipeline for Idiom Disambiguation and Visual Representation ↗Mohamed Badran, Youssof Nawar, Nagwa El-Makky
  14. AlphaPro at SemEval-2025 Task 8: A Code Generation Approach for Question-Answering over Tabular Data ↗Anshuman Aryan, Laukik Wadhwa, Kalki Eshwar et al.
  15. Amado at SemEval-2025 Task 11: Multi-label Emotion Detection in Amharic and English Data ↗Girma Yohannis Bade, Olga Kolesnikova, José Luis Oropeza et al.
  16. Anaselka at SemEval-2025 Task 9: Leveraging SVM and MNB for Detecting Food Hazard ↗Anwar Annas, Al Hafiz Siagian
  17. Anastasia at SemEval-2025 Task 9: Subtask 1, Ensemble Learning with Data Augmentation and Focal Loss for Food Risk Classification. ↗Tung Thanh Le, Tri Minh Ngo, Trung Hieu Dang
  18. Angeliki Linardatou at SemEval-2025 Task 11: Multi-label Emotion Detection ↗Angeliki Linardatou, Paraskevi Platanou
  19. Annif at SemEval-2025 Task 5: Traditional XMTC augmented by LLMs ↗Osma Suominen, Juho Inkinen, Mona Lehtinen
  20. AtlasIA at SemEval-2025 Task 11: FastText-Based Emotion Detection in Moroccan Arabic for Low-Resource Settings ↗Abdeljalil El Majjodi, Imane Momayiz, Nouamane Tazi
  21. Atyaephyra at SemEval-2025 Task 4: Low-Rank Negative Preference Optimization ↗Jan Bronec, Jindřich Helcl
  22. BERTastic at SemEval-2025 Task 10: State-of-the-Art Accuracy in Coarse-Grained Entity Framing for Hindi News ↗Tarek Mahmoud, Zhuohan Xie, Preslav Nakov
  23. BitsAndBites at SemEval-2025 Task 9: Improving Food Hazard Detection with Sequential Multitask Learning and Large Language Models ↗Aurora Gensale, Irene Benedetto, Luca Gioacchini et al.
  24. BlueToad at SemEval-2025 Task 3: Using Question-Answering-Based Language Models to Extract Hallucinations from Machine-Generated Text ↗Michiel Pronk, Ekaterina Kamyshanova, Thijmen Adam et al.
  25. BrightCookies at SemEval-2025 Task 9: Exploring Data Augmentation for Food Hazard Classification ↗Foteini Papadopoulou, Osman Mutlu, Neris Özen et al.
  26. CAIDAS at SemEval-2025 Task 7: Enriching Sparse Datasets with LLM-Generated Content for Improved Information Retrieval ↗Dominik Benchert, Severin Meßlinger, Sven Goller et al.
  27. CAISA at SemEval-2025 Task 7: Multilingual and Cross-lingual Fact-Checked Claim Retrieval ↗Muqaddas Haroon, Shaina Ashraf, Ipek Baris et al.
  28. CCNU at SemEval-2025 Task 3: Leveraging Internal and External Knowledge of Large Language Models for Multilingual Hallucination Annotation ↗Xu Liu, Guanyi Chen
  29. CCNU at SemEval-2025 Task 8: Enhancing Question Answering on Tabular Data with Two-Stage Corrections ↗Chenlian Zhou, Xilu Cai, Yajuan Tong et al.
  30. CDHF at SemEval-2025 Task 9: A Multi-Task Learning Approach for Food Hazard Classification ↗Phuoc Chu
  31. CHILL at SemEval-2025 Task 2: You Can't Just Throw Entities and Hope–-Make Your LLM to Get Them Right ↗Jaebok Lee, Yonghyun Ryu, Seongmin Park et al.
  32. CIC-IPN at SemEval-2025 Task 11: Transformer-Based Approach to Multi-Class Emotion Detection ↗Tolulope Abiola, Olumide Ebenezer Ojo, Grigori Sidorov et al.
  33. CICL at SemEval-2025 Task 9: A Pilot Study on Different Machine Learning Models for Food Hazard Detection Challenge ↗Weiting Wang, Wanzhao Zhang
  34. CIOL at SemEval-2025 Task 11: Multilingual Pre-trained Model Fusion for Text-based Emotion Recognition ↗Md. Hoque, Mahfuz Ahmed Anik, Abdur Rahman et al.
  35. CLaC at SemEval-2025 Task 6: A Multi-Architecture Approach for Corporate Environmental Promise Verification ↗Nawar Turk, Eeham Khan, Leila Kosseim
  36. COGNAC at SemEval-2025 Task 10: Multi-level Narrative Classification with Summarization and Hierarchical Prompting ↗Azwad Anjum Islam, Mark Finlayson
  37. COGUMELO at SemEval-2025 Task 3: A Synthetic Approach to Detecting Hallucinations in Language Models based on Named Entity Recognition ↗Aldan Creo, Héctor Cerezo-Costas, Maximiliano Hormazábal Lagos et al.
  38. CSCU at SemEval-2025 Task 6: Enhancing Promise Verification with Paraphrase and Synthesis Augmentation: Effects on Model Performance ↗Kittiphat Leesombatwathana, Wisarut Tangtemjit, Dittaya Wanvarie
  39. CSECU-DSG at SemEval-2025 Task 6: Exploiting Multilingual Feature Fusion-based Approach for Corporate Promise Verification ↗Tashin Hossain, Abu Nowshed Chy
  40. CSECU-Learners at SemEval-2025 Task 11: Multilingual Emotion Recognition and Intensity Prediction with Language-tuned Transformers and Multi-sample Dropout ↗Monir Ahmad, Muhammad Anwarul Azim, Abu Nowshed Chy
  41. CSECU-Learners at SemEval-2025 Task 9: Enhancing Transformer Model for Explainable Food Hazard Detection in Text ↗Monir Ahmad, Md. Akram Hossain, Abu Nowshed Chy
  42. CSIRO LT at SemEval-2025 Task 8: Answering Questions over Tabular Data using LLMs ↗Tomas Turek, Shakila Tonni, Vincent Nguyen et al.
  43. CSIRO-LT at SemEval-2025 Task 11: Adapting LLMs for Emotion Recognition for Multiple Languages ↗Jiyu Chen, Necva Bölücü, Sarvnaz Karimi et al.
  44. CTYUN-AI at SemEval-2025 Task 1: Learning to Rank for Idiomatic Expressions ↗Yuming Fan, Dongming Yang, Zefeng Cai et al.
  45. CYUT at SemEval-2025 Task 6: Prompting with Precision – ESG Analysis via Structured Prompts ↗Shih-Hung Wu, Zhi-Hong Lin, Ping-Hsuan Lee
  46. CharsiuRice at SemEval-2025 Task 11: Bridging the Gap in Text-Based Emotion Detection ↗Hiu Yan Yip, Hing Man Chiu, Hai-Yin Yang
  47. Chinchunmei at SemEval-2025 Task 11: Boosting the Large Language Model's Capability of Emotion Perception using Contrastive Learning ↗Tian Li, Yujian Sun, Huizhi Liang
  48. ChuenSumi at SemEval-2025 Task 1: Sentence Transformer Models and Processing Idiomacity ↗Sumiko Teng, Chuen Shin Yong
  49. ClaimCatchers at SemEval-2025 Task 7: Sentence Transformers for Claim Retrieval ↗Rrubaa Panchendrarajan, Rafael Frade, Arkaitz Zubiaga
  50. Core Intelligence at SemEval-2025 Task 8: Multi-hop LLM Agent for Tabular Question Answering ↗Maryna Chernyshevich
  51. Cyber for AI at SemEval-2025 Task 4: Forgotten but Not Lost: The Balancing Act of Selective Unlearning in Large Language Models ↗Dinesh Srivasthav P, Bala Mallikarjunarao Garlapati
  52. DEMON at SemEval-2025 Task 10: Fine-tuning LLaMA-3 for Multilingual Entity Framing ↗Matteo Fenu, Manuela Sanguinetti, Maurizio Atzori
  53. DKE-Research at SemEval-2025 Task 7: A Unified Multilingual Framework for Cross-Lingual and Monolingual Retrieval with Efficient Language-specific Adaptation ↗Yuqi Wang, Kangshi Wang
  54. DNB-AI-Project at SemEval-2025 Task 5: An LLM-Ensemble Approach for Automated Subject Indexing ↗Lisa Kluge, Maximilian Kähler
  55. DUTIR at SemEval-2025 Task 10: A Large Language Model-based Approach for Entity Framing in Online News ↗Tengxiao Lv, Juntao Li, Chao Liu et al.
  56. DUTIR831 at SemEval-2025 Task 5: A Multi-Stage LLM Approach to GND Subject Assignment for TIBKAT Records ↗Yicen Tian, Erchen Yu, Yanan Wang et al.
  57. DUTJBD at SemEval-2025 Task 3: A Range of Approaches for Predicting Hallucination Generation in Models ↗Shengdi Yin, Zekun Wang, Liang Yang et al.
  58. DUT_IR at SemEval-2025 Task 11: Enhancing Multi-Label Emotion Classification with an Ensemble of Pre-trained Language Models and Large Language Models ↗Chao Liu, Junliang Liu, Tengxiao Lv et al.
  59. DUTir at SemEval-2025 Task 4: Optimized Fine-Tuning of Linear Layers for Balanced Knowledge Forgetting and Retention ↗Zekun Wang, Jingjie Zeng, Yingxu Li et al.
  60. DUTtask10 at SemEval-2025 Task 10: ThoughtFlow: Hierarchical Narrative Classification via Stepwise Prompting ↗Du Py, Huayang Li, Liang Yang et al.
  61. DataBees at SemEval-2025 Task 11: Challenges and Limitations in Multi-Label Emotion Detection ↗Sowmya Anand, Tanisha Sriram, Rajalakshmi Sivanaiah et al.
  62. Dataground at SemEval-2025 Task 8: Small LLMs and Preference Optimization for Tabular QA ↗Giuseppe Attardi, Andrea Nelson Mauro, Daniele Sartiano
  63. Deep at SemEval-2025 Task 11: A Multi-Stage Approach to Emotion Detection ↗Dong Shenpo
  64. Deloitte (Drocks) at SemEval-2025 Task 3: Fine-Grained Multi-lingual Hallucination Detection Using Internal LLM Weights ↗Alex Chandler, Harika Abburi, Sanmitra Bhattacharya et al.
  65. Dianchi at SemEval-2025 Task 11: Multilabel Emotion Recognition via Orthogonal Knowledge Distillation ↗Zhenlan Wang, Jiaxuan Liu
  66. Domain_adaptation at SemEval-2025 Task 11: Adversarial Domain Adaptation for Text-based Emotion Recognition ↗Mikhail Lepekhin, Serge Sharoff
  67. Duluth at SemEval-2025 Task 7: TF-IDF with Optimized Vector Dimensions for Multilingual Fact-Checked Claim Retrieval ↗Shujauddin Syed, Ted Pedersen
  68. EMO-NLP at SemEval-2025 Task 11: Multi-label Emotion Detection in Multiple Languages Based on XLMCNN ↗Jing Li, Yucheng Xian, Xutao Yang
  69. Emotion Train at SemEval-2025 Task 11: Comparing Generative and Discriminative Models in Emotion Recognition ↗Anastasiia Demidova, Injy Hamed, Teresa Lynn et al.
  70. Empaths at SemEval-2025 Task 11: Retrieval-Augmented Approach to Perceived Emotions Prediction ↗Lev Morozov, Aleksandr Mogilevskii, Alexander Shirnin
  71. Exploration Lab IITK at SemEval-2025 Task 11: Bridging the Gap in Text-Based Emotion Detection ↗Tafazzul Nadeem, Riyansha Singh, Suyamoon Pathak et al.
  72. Exploration Lab IITK at SemEval-2025 Task 8: Multi-LLM Agent QA over Tabular Data ↗Aditya Bangar, Ankur Kumar, Shlok Mishra et al.
  73. FENJI at SemEval-2025 Task 3: Retrieval-Augmented Generation and Hallucination Span Detection ↗Flor Alberts, Ivo Bruinier, Nathalie Palm et al.
  74. FII the Best at SemEval 2025 Task 2: Steering State-of-the-art Machine Translation Models with Strategically Engineered Pipelines for Enhanced Entity Translation ↗Delia-Iustina Grigorita, Tudor-Constantin Pricop, Sergio-Alessandro Suteu et al.
  75. FJWU_Squad at SemEval-2025 Task 1: An Idiom Visual Understanding Dataset for Idiom Learning ↗Maira Khatoon, Arooj Kiyani, Tehmina Farid et al.
  76. FactDebug at SemEval-2025 Task 7: Hybrid Retrieval Pipeline for Identifying Previously Fact-Checked Claims Across Multiple Languages ↗Evgenii Nikolaev, Ivan Bondarenko, Islam Aushev et al.
  77. Fane at SemEval-2025 Task 10: Zero-Shot Entity Framing with Large Language Models ↗Enfa Fane, Mihai Surdeanu, Eduardo Blanco et al.
  78. FiRC-NLP at SemEval-2025 Task 11: To Prompt or to Fine-Tune? Approaches for Multilingual Emotion Classification ↗Wondimagegnhue Tufa, Fadi Hassan, Evgenii Migaev et al.
  79. FiRC-NLP at SemEval-2025 Task 3: Exploring Prompting Approaches for Detecting Hallucinations in LLMs ↗Wondimagegnhue Tufa, Fadi Hassan, Guillem Collell et al.
  80. Firefly Team at SemEval-2025 Task 8: Question-Answering over Tabular Data using SQL/Python generation with Closed-Source Large Language Models ↗Ho Thuy Nga, Ho Thi Thanh Tuyen, Le Minh Hung et al.
  81. Fossils at SemEval-2025 Task 9: Tasting Loss Functions for Food Hazard Detection in Text Reports ↗Aman Sinha, Federica Gamba
  82. FunghiFunghi at SemEval-2025 Task 3: Mu-SHROOM, the Multilingual Shared-task on Hallucinations and Related Observable Overgeneration Mistakes ↗Tariq Ballout, Pieter Jansma, Nander Koops et al.
  83. G-MACT at SemEval-2025 Task 8: Exploring Planning and Tool Use in Question Answering over Tabular Data ↗Wei Zhou, Mohsen Mesgar, Annemarie Friedrich et al.
  84. GIL-IIMAS UNAM at SemEval-2025 Task 3: MeSSI: A Multilmodule System to detect hallucinated Segments in trivia-like Inquiries. ↗Francisco López-Ponce, Karla Salas-Jimenez, Adrián Juárez-Pérez et al.
  85. GIL-IIMAS UNAM at SemEval-2025 Task 4: LA-Min(E): LLM Unlearning Approaches Under Function Minimizing Evaluation Constraints ↗Karla Salas-Jimenez, Francisco López-Ponce, Diego Hernández-Bustamante et al.
  86. GOLDX at SemEval-2025 Task 11: RoBERTa for Text-Based Emotion Detection ↗Bill Clinton
  87. GPLSICORTEX at SemEval-2025 Task 10: Leveraging Intentions for Generating Narrative Extractions ↗Ivan Martinez-Murillo, María Miró Maestre, Aitana Martínez et al.
  88. GT-NLP at SemEval-2025 Task 11: EmoRationale, Evidence-Based Emotion Detection via Retrieval-Augmented Generation ↗Daniel Saeedi, Alireza Kheirandish, Sirwe Saeedi et al.
  89. GUIR at SemEval-2025 Task 4: Adaptive Weight Tuning with Gradual Negative Matching for LLM Unlearning ↗Hrishikesh Kulkarni, Nazli Goharian, Ophir Frieder
  90. GateNLP at SemEval-2025 Task 10: Hierarchical Three-Step Prompting for Multilingual Narrative Classification ↗Iknoor Singh, Carolina Scarton, Kalina Bontcheva
  91. GinGer at SemEval-2025 Task 11: Leveraging Fine-Tuned Transformer Models and LoRA for Sentiment Analysis in Low-Resource Languages ↗Aylin Naebzadeh, Fatemeh Askari
  92. HITSZ-HLT at SemEval-2025 Task 8: Multi-turn Interactive Code Generation for Question Answering on Tabular Data ↗Jun Wang, Feng Xiong, Hongling Xu et al.
  93. HTU at SemEval-2025 Task 11: Divide and Conquer - Multi-Label emotion classification using 6 DziriBERTs submodels with Label-fused Iterative Mask Filling technique for low-resource data augmentation. ↗Abdallah Saleh, Mariam Biltawi
  94. HU at SemEval-2025 Task 9: Leveraging LLM-Based Data Augmentation for Class Imbalance ↗Muhammad Saad, Meesum Abbas, Sandesh Kumar et al.
  95. Habib University at SemEval-2025 Task 11: Bridging the Gap in Text-Based Emotion Detection ↗Owais Waheed, Hammad Sajid, Kushal Chandani et al.
  96. Habib University at SemEval-2025 Task 9: Using Ensemble Models for Food Hazard Detection ↗Rabia Shahab, Iqra Azfar, Hammad Sajid et al.
  97. HalluRAG-RUG at SemEval-2025 Task 3: Using Retrieval-Augmented Generation for Hallucination Detection in Model Outputs ↗Silvana Abdi, Mahrokh Hassani, Rosalien Kinds et al.
  98. HalluSearch at SemEval-2025 Task 3: A Search-Enhanced RAG Pipeline for Hallucination Detection ↗Mohamed Abdallah, Samhaa El-Beltagy
  99. Hallucination Detectives at SemEval-2025 Task 3: Span-Level Hallucination Detection for LLM-Generated Answers ↗Passant Elchafei, Mervat Abu-Elkheir
  100. HausaNLP at SemEval-2025 Task 11: Advancing Hausa Text-based Emotion Detection ↗Sani Abdullahi Sani, Salim Abubakar, Falalu Ibrahim Lawan et al.

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