---
title: "SemEval 2025 — all accepted papers — the most cited first"
description: "All 329 papers of SemEval 2025 · page 1 of 4, the most cited first; those with our summary link to it."
canonical: "https://research.elamur.ai/free/en/venues/semeval/2025/papers/"
---
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# SemEval 2025: all accepted papers

329 papers · page 1 of 4 · the most cited first · [← SemEval 2025](https://md.research.elamur.ai/free/en/venues/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 ↗](https://aclanthology.org/2025.semeval-1.32/)**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 ↗](https://aclanthology.org/2025.semeval-1.107/)**Le Duc Tai, Dang Van Thin
3. **[AGHNA at SemEval-2025 Task 11: Predicting Emotion and Its Intensity within a Text with EmoBERTa ↗](https://aclanthology.org/2025.semeval-1.140/)**Moh. Abyan
4. **[AILS-NTUA at SemEval-2025 Task 3: Leveraging Large Language Models and Translation Strategies for Multilingual Hallucination Detection ↗](https://aclanthology.org/2025.semeval-1.172/)**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 ↗](https://aclanthology.org/2025.semeval-1.184/)**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 ↗](https://aclanthology.org/2025.semeval-1.188/)**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 ↗](https://aclanthology.org/2025.semeval-1.296/)**Arash Rasouli, Erfan Sadraiye, Omid Ghahroodi et al.
8. **[AKCIT at SemEval-2025 Task 11: Investigating Data Quality in Portuguese Emotion Recognition ↗](https://aclanthology.org/2025.semeval-1.300/)**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 ↗](https://aclanthology.org/2025.semeval-1.145/)**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 ↗](https://aclanthology.org/2025.semeval-1.160/)**Anastasia Voznyuk, German Gritsai, Andrey Grabovoy
11. **[Aestar at SemEval-2025 Task 8: Agentic LLMs for Question Answering over Tabular Data ↗](https://aclanthology.org/2025.semeval-1.292/)**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 ↗](https://aclanthology.org/2025.semeval-1.118/)**Omar Mokhtar, Minah Ghanem, Nagwa El-Makky
13. **[AlexUNLP-NB at SemEval-2025 Task 1: A Pipeline for Idiom Disambiguation and Visual Representation ↗](https://aclanthology.org/2025.semeval-1.76/)**Mohamed Badran, Youssof Nawar, Nagwa El-Makky
14. **[AlphaPro at SemEval-2025 Task 8: A Code Generation Approach for Question-Answering over Tabular Data ↗](https://aclanthology.org/2025.semeval-1.307/)**Anshuman Aryan, Laukik Wadhwa, Kalki Eshwar et al.
15. **[Amado at SemEval-2025 Task 11: Multi-label Emotion Detection in Amharic and English Data ↗](https://aclanthology.org/2025.semeval-1.185/)**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 ↗](https://aclanthology.org/2025.semeval-1.111/)**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. ↗](https://aclanthology.org/2025.semeval-1.20/)**Tung Thanh Le, Tri Minh Ngo, Trung Hieu Dang
18. **[Angeliki Linardatou at SemEval-2025 Task 11: Multi-label Emotion Detection ↗](https://aclanthology.org/2025.semeval-1.70/)**Angeliki Linardatou, Paraskevi Platanou
19. **[Annif at SemEval-2025 Task 5: Traditional XMTC augmented by LLMs ↗](https://aclanthology.org/2025.semeval-1.315/)**Osma Suominen, Juho Inkinen, Mona Lehtinen
20. **[AtlasIA at SemEval-2025 Task 11: FastText-Based Emotion Detection in Moroccan Arabic for Low-Resource Settings ↗](https://aclanthology.org/2025.semeval-1.6/)**Abdeljalil El Majjodi, Imane Momayiz, Nouamane Tazi
21. **[Atyaephyra at SemEval-2025 Task 4: Low-Rank Negative Preference Optimization ↗](https://aclanthology.org/2025.semeval-1.187/)**Jan Bronec, Jindřich Helcl
22. **[BERTastic at SemEval-2025 Task 10: State-of-the-Art Accuracy in Coarse-Grained Entity Framing for Hindi News ↗](https://aclanthology.org/2025.semeval-1.55/)**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 ↗](https://aclanthology.org/2025.semeval-1.99/)**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 ↗](https://aclanthology.org/2025.semeval-1.95/)**Michiel Pronk, Ekaterina Kamyshanova, Thijmen Adam et al.
25. **[BrightCookies at SemEval-2025 Task 9: Exploring Data Augmentation for Food Hazard Classification ↗](https://aclanthology.org/2025.semeval-1.124/)**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 ↗](https://aclanthology.org/2025.semeval-1.214/)**Dominik Benchert, Severin Meßlinger, Sven Goller et al.
27. **[CAISA at SemEval-2025 Task 7: Multilingual and Cross-lingual Fact-Checked Claim Retrieval ↗](https://aclanthology.org/2025.semeval-1.183/)**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 ↗](https://aclanthology.org/2025.semeval-1.62/)**Xu Liu, Guanyi Chen
29. **[CCNU at SemEval-2025 Task 8: Enhancing Question Answering on Tabular Data with Two-Stage Corrections ↗](https://aclanthology.org/2025.semeval-1.115/)**Chenlian Zhou, Xilu Cai, Yajuan Tong et al.
30. **[CDHF at SemEval-2025 Task 9: A Multi-Task Learning Approach for Food Hazard Classification ↗](https://aclanthology.org/2025.semeval-1.282/)**Phuoc Chu
31. **[CHILL at SemEval-2025 Task 2: You Can't Just Throw Entities and Hope–-Make Your LLM to Get Them Right ↗](https://aclanthology.org/2025.semeval-1.75/)**Jaebok Lee, Yonghyun Ryu, Seongmin Park et al.
32. **[CIC-IPN at SemEval-2025 Task 11: Transformer-Based Approach to Multi-Class Emotion Detection ↗](https://aclanthology.org/2025.semeval-1.212/)**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 ↗](https://aclanthology.org/2025.semeval-1.83/)**Weiting Wang, Wanzhao Zhang
34. **[CIOL at SemEval-2025 Task 11: Multilingual Pre-trained Model Fusion for Text-based Emotion Recognition ↗](https://aclanthology.org/2025.semeval-1.29/)**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 ↗](https://aclanthology.org/2025.semeval-1.232/)**Nawar Turk, Eeham Khan, Leila Kosseim
36. **[COGNAC at SemEval-2025 Task 10: Multi-level Narrative Classification with Summarization and Hierarchical Prompting ↗](https://aclanthology.org/2025.semeval-1.190/)**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 ↗](https://aclanthology.org/2025.semeval-1.281/)**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 ↗](https://aclanthology.org/2025.semeval-1.252/)**Kittiphat Leesombatwathana, Wisarut Tangtemjit, Dittaya Wanvarie
39. **[CSECU-DSG at SemEval-2025 Task 6: Exploiting Multilingual Feature Fusion-based Approach for Corporate Promise Verification ↗](https://aclanthology.org/2025.semeval-1.242/)**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 ↗](https://aclanthology.org/2025.semeval-1.178/)**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 ↗](https://aclanthology.org/2025.semeval-1.168/)**Monir Ahmad, Md. Akram Hossain, Abu Nowshed Chy
42. **[CSIRO LT at SemEval-2025 Task 8: Answering Questions over Tabular Data using LLMs ↗](https://aclanthology.org/2025.semeval-1.222/)**Tomas Turek, Shakila Tonni, Vincent Nguyen et al.
43. **[CSIRO-LT at SemEval-2025 Task 11: Adapting LLMs for Emotion Recognition for Multiple Languages ↗](https://aclanthology.org/2025.semeval-1.48/)**Jiyu Chen, Necva Bölücü, Sarvnaz Karimi et al.
44. **[CTYUN-AI at SemEval-2025 Task 1: Learning to Rank for Idiomatic Expressions ↗](https://aclanthology.org/2025.semeval-1.3/)**Yuming Fan, Dongming Yang, Zefeng Cai et al.
45. **[CYUT at SemEval-2025 Task 6: Prompting with Precision – ESG Analysis via Structured Prompts ↗](https://aclanthology.org/2025.semeval-1.69/)**Shih-Hung Wu, Zhi-Hong Lin, Ping-Hsuan Lee
46. **[CharsiuRice at SemEval-2025 Task 11: Bridging the Gap in Text-Based Emotion Detection ↗](https://aclanthology.org/2025.semeval-1.143/)**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 ↗](https://aclanthology.org/2025.semeval-1.46/)**Tian Li, Yujian Sun, Huizhi Liang
48. **[ChuenSumi at SemEval-2025 Task 1: Sentence Transformer Models and Processing Idiomacity ↗](https://aclanthology.org/2025.semeval-1.18/)**Sumiko Teng, Chuen Shin Yong
49. **[ClaimCatchers at SemEval-2025 Task 7: Sentence Transformers for Claim Retrieval ↗](https://aclanthology.org/2025.semeval-1.63/)**Rrubaa Panchendrarajan, Rafael Frade, Arkaitz Zubiaga
50. **[Core Intelligence at SemEval-2025 Task 8: Multi-hop LLM Agent for Tabular Question Answering ↗](https://aclanthology.org/2025.semeval-1.174/)**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 ↗](https://aclanthology.org/2025.semeval-1.57/)**Dinesh Srivasthav P, Bala Mallikarjunarao Garlapati
52. **[DEMON at SemEval-2025 Task 10: Fine-tuning LLaMA-3 for Multilingual Entity Framing ↗](https://aclanthology.org/2025.semeval-1.192/)**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 ↗](https://aclanthology.org/2025.semeval-1.22/)**Yuqi Wang, Kangshi Wang
54. **[DNB-AI-Project at SemEval-2025 Task 5: An LLM-Ensemble Approach for Automated Subject Indexing ↗](https://aclanthology.org/2025.semeval-1.148/)**Lisa Kluge, Maximilian Kähler
55. **[DUTIR at SemEval-2025 Task 10: A Large Language Model-based Approach for Entity Framing in Online News ↗](https://aclanthology.org/2025.semeval-1.25/)**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 ↗](https://aclanthology.org/2025.semeval-1.52/)**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 ↗](https://aclanthology.org/2025.semeval-1.123/)**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 ↗](https://aclanthology.org/2025.semeval-1.17/)**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 ↗](https://aclanthology.org/2025.semeval-1.72/)**Zekun Wang, Jingjie Zeng, Yingxu Li et al.
60. **[DUTtask10 at SemEval-2025 Task 10: ThoughtFlow: Hierarchical Narrative Classification via Stepwise Prompting ↗](https://aclanthology.org/2025.semeval-1.59/)**Du Py, Huayang Li, Liang Yang et al.
61. **[DataBees at SemEval-2025 Task 11: Challenges and Limitations in Multi-Label Emotion Detection ↗](https://aclanthology.org/2025.semeval-1.33/)**Sowmya Anand, Tanisha Sriram, Rajalakshmi Sivanaiah et al.
62. **[Dataground at SemEval-2025 Task 8: Small LLMs and Preference Optimization for Tabular QA ↗](https://aclanthology.org/2025.semeval-1.173/)**Giuseppe Attardi, Andrea Nelson Mauro, Daniele Sartiano
63. **[Deep at SemEval-2025 Task 11: A Multi-Stage Approach to Emotion Detection ↗](https://aclanthology.org/2025.semeval-1.254/)**Dong Shenpo
64. **[Deloitte (Drocks) at SemEval-2025 Task 3: Fine-Grained Multi-lingual Hallucination Detection Using Internal LLM Weights ↗](https://aclanthology.org/2025.semeval-1.144/)**Alex Chandler, Harika Abburi, Sanmitra Bhattacharya et al.
65. **[Dianchi at SemEval-2025 Task 11: Multilabel Emotion Recognition via Orthogonal Knowledge Distillation ↗](https://aclanthology.org/2025.semeval-1.146/)**Zhenlan Wang, Jiaxuan Liu
66. **[Domain_adaptation at SemEval-2025 Task 11: Adversarial Domain Adaptation for Text-based Emotion Recognition ↗](https://aclanthology.org/2025.semeval-1.8/)**Mikhail Lepekhin, Serge Sharoff
67. **[Duluth at SemEval-2025 Task 7: TF-IDF with Optimized Vector Dimensions for Multilingual Fact-Checked Claim Retrieval ↗](https://aclanthology.org/2025.semeval-1.98/)**Shujauddin Syed, Ted Pedersen
68. **[EMO-NLP at SemEval-2025 Task 11: Multi-label Emotion Detection in Multiple Languages Based on XLMCNN ↗](https://aclanthology.org/2025.semeval-1.110/)**Jing Li, Yucheng Xian, Xutao Yang
69. **[Emotion Train at SemEval-2025 Task 11: Comparing Generative and Discriminative Models in Emotion Recognition ↗](https://aclanthology.org/2025.semeval-1.133/)**Anastasiia Demidova, Injy Hamed, Teresa Lynn et al.
70. **[Empaths at SemEval-2025 Task 11: Retrieval-Augmented Approach to Perceived Emotions Prediction ↗](https://aclanthology.org/2025.semeval-1.259/)**Lev Morozov, Aleksandr Mogilevskii, Alexander Shirnin
71. **[Exploration Lab IITK at SemEval-2025 Task 11: Bridging the Gap in Text-Based Emotion Detection ↗](https://aclanthology.org/2025.semeval-1.243/)**Tafazzul Nadeem, Riyansha Singh, Suyamoon Pathak et al.
72. **[Exploration Lab IITK at SemEval-2025 Task 8: Multi-LLM Agent QA over Tabular Data ↗](https://aclanthology.org/2025.semeval-1.280/)**Aditya Bangar, Ankur Kumar, Shlok Mishra et al.
73. **[FENJI at SemEval-2025 Task 3: Retrieval-Augmented Generation and Hallucination Span Detection ↗](https://aclanthology.org/2025.semeval-1.151/)**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 ↗](https://aclanthology.org/2025.semeval-1.78/)**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 ↗](https://aclanthology.org/2025.semeval-1.231/)**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 ↗](https://aclanthology.org/2025.semeval-1.284/)**Evgenii Nikolaev, Ivan Bondarenko, Islam Aushev et al.
77. **[Fane at SemEval-2025 Task 10: Zero-Shot Entity Framing with Large Language Models ↗](https://aclanthology.org/2025.semeval-1.251/)**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 ↗](https://aclanthology.org/2025.semeval-1.204/)**Wondimagegnhue Tufa, Fadi Hassan, Evgenii Migaev et al.
79. **[FiRC-NLP at SemEval-2025 Task 3: Exploring Prompting Approaches for Detecting Hallucinations in LLMs ↗](https://aclanthology.org/2025.semeval-1.273/)**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 ↗](https://aclanthology.org/2025.semeval-1.136/)**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 ↗](https://aclanthology.org/2025.semeval-1.199/)**Aman Sinha, Federica Gamba
82. **[FunghiFunghi at SemEval-2025 Task 3: Mu-SHROOM, the Multilingual Shared-task on Hallucinations and Related Observable Overgeneration Mistakes ↗](https://aclanthology.org/2025.semeval-1.211/)**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 ↗](https://aclanthology.org/2025.semeval-1.100/)**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. ↗](https://aclanthology.org/2025.semeval-1.208/)**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 ↗](https://aclanthology.org/2025.semeval-1.205/)**Karla Salas-Jimenez, Francisco López-Ponce, Diego Hernández-Bustamante et al.
86. **[GOLDX at SemEval-2025 Task 11: RoBERTa for Text-Based Emotion Detection ↗](https://aclanthology.org/2025.semeval-1.109/)**Bill Clinton
87. **[GPLSICORTEX at SemEval-2025 Task 10: Leveraging Intentions for Generating Narrative Extractions ↗](https://aclanthology.org/2025.semeval-1.80/)**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 ↗](https://aclanthology.org/2025.semeval-1.90/)**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 ↗](https://aclanthology.org/2025.semeval-1.152/)**Hrishikesh Kulkarni, Nazli Goharian, Ophir Frieder
90. **[GateNLP at SemEval-2025 Task 10: Hierarchical Three-Step Prompting for Multilingual Narrative Classification ↗](https://aclanthology.org/2025.semeval-1.21/)**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 ↗](https://aclanthology.org/2025.semeval-1.263/)**Aylin Naebzadeh, Fatemeh Askari
92. **[HITSZ-HLT at SemEval-2025 Task 8: Multi-turn Interactive Code Generation for Question Answering on Tabular Data ↗](https://aclanthology.org/2025.semeval-1.302/)**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. ↗](https://aclanthology.org/2025.semeval-1.94/)**Abdallah Saleh, Mariam Biltawi
94. **[HU at SemEval-2025 Task 9: Leveraging LLM-Based Data Augmentation for Class Imbalance ↗](https://aclanthology.org/2025.semeval-1.210/)**Muhammad Saad, Meesum Abbas, Sandesh Kumar et al.
95. **[Habib University at SemEval-2025 Task 11: Bridging the Gap in Text-Based Emotion Detection ↗](https://aclanthology.org/2025.semeval-1.217/)**Owais Waheed, Hammad Sajid, Kushal Chandani et al.
96. **[Habib University at SemEval-2025 Task 9: Using Ensemble Models for Food Hazard Detection ↗](https://aclanthology.org/2025.semeval-1.180/)**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 ↗](https://aclanthology.org/2025.semeval-1.116/)**Silvana Abdi, Mahrokh Hassani, Rosalien Kinds et al.
98. **[HalluSearch at SemEval-2025 Task 3: A Search-Enhanced RAG Pipeline for Hallucination Detection ↗](https://aclanthology.org/2025.semeval-1.189/)**Mohamed Abdallah, Samhaa El-Beltagy
99. **[Hallucination Detectives at SemEval-2025 Task 3: Span-Level Hallucination Detection for LLM-Generated Answers ↗](https://aclanthology.org/2025.semeval-1.84/)**Passant Elchafei, Mervat Abu-Elkheir
100. **[HausaNLP at SemEval-2025 Task 11: Advancing Hausa Text-based Emotion Detection ↗](https://aclanthology.org/2025.semeval-1.261/)**Sani Abdullahi Sani, Salim Abubakar, Falalu Ibrahim Lawan et al.

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