Papers
Groningen team D at SemEval-2024 Task 8: Exploring data generation and a combined model for fine-tuning LLMs for Multidomain Machine-Generated Text Detection
Thijs Brekhof, Xuanyi Liu, Joris Ruitenbeek et al.
KInIT at SemEval-2024 Task 8: Fine-tuned LLMs for Multilingual Machine-Generated Text Detection
Michal Spiegel, Dominik Macko
LMEME at SemEval-2024 Task 4: Teacher Student Fusion - Integrating CLIP with LLMs for Enhanced Persuasion Detection
Shiyi Li, Yike Wang, Liang Yang et al.
DFKI-NLP at SemEval-2024 Task 2: Towards Robust LLMs Using Data Perturbations and MinMax Training
Bhuvanesh Verma, Lisa Raithel
OPDAI at SemEval-2024 Task 6: Small LLMs can Accelerate Hallucination Detection with Weakly Supervised Data
Ze Chen, Chengcheng Wei, Songtan Fang et al.
DUTh at SemEval 2024 Task 8: Comparing classic Machine Learning Algorithms and LLM based methods for Multigenerator, Multidomain and Multilingual Machine-Generated Text Detection
Theodora Kyriakou, Ioannis Maslaris, Avi Arampatzis
PetKaz at SemEval-2024 Task 3: Advancing Emotion Classification with an LLM for Emotion-Cause Pair Extraction in Conversations
Roman Kazakov, Kseniia Petukhova, Ekaterina Kochmar
USTC-BUPT at SemEval-2024 Task 8: Enhancing Machine-Generated Text Detection via Domain Adversarial Neural Networks and LLM Embeddings
Zikang Guo, Kaijie Jiao, Xingyu Yao et al.
LomonosovMSU at SemEval-2024 Task 4: Comparing LLMs and embedder models to identifying propaganda techniques in the content of memes in English for subtasks No1, No2a, and No2b
Gleb Skiba, Mikhail Pukemo, Dmitry Melikhov et al.
MARiA at SemEval 2024 Task-6: Hallucination Detection Through LLMs, MNLI, and Cosine similarity
Reza Sanayei, Abhyuday Singh, Mohammadhossein Rezaei et al.
NUS-Emo at SemEval-2024 Task 3: Instruction-Tuning LLM for Multimodal Emotion-Cause Analysis in Conversations
Meng Luo, Han Zhang, Shengqiong Wu et al.
Archimedes-AUEB at SemEval-2024 Task 5: LLM explains Civil Procedure
Odysseas S. Chlapanis, Ion Androutsopoulos, Dimitrios Galanis
HW-TSC at SemEval-2024 Task 9: Exploring Prompt Engineering Strategies for Brain Teaser Puzzles Through LLMs
Yinglu Li, Zhao Yanqing, Min Zhang et al.
SU-FMI at SemEval-2024 Task 5: From BERT Fine-Tuning to LLM Prompt Engineering - Approaches in Legal Argument Reasoning
Kristiyan Krumov, Svetla Boytcheva, Ivan Koytchev
MALTO at SemEval-2024 Task 6: Leveraging Synthetic Data for LLM Hallucination Detection
Federico Borra, Claudio Savelli, Giacomo Rosso et al.
uTeBC-NLP at SemEval-2024 Task 9: Can LLMs be Lateral Thinkers?
Pouya Sadeghi, Amirhossein Abaskohi, Yadollah Yaghoobzadeh
HW-TSC at SemEval-2024 Task 5: Self-Eval? A Confident LLM System for Auto Prediction and Evaluation for the Legal Argument Reasoning Task
Xiaofeng Zhao, Xiaosong Qiao, Kaiwen Ou et al.
Zero Shot is All You Need at SemEval-2024 Task 9: A study of State of the Art LLMs on Lateral Thinking Puzzles
Erfan Moosavi Monazzah, Mahdi Feghhi
UoR-NCL at SemEval-2025 Task 1: Using Generative LLMs and CLIP Models for Multilingual Multimodal Idiomaticity Representation
Thanet Markchom, Tong Wu, Liting Huang et al.
NlpUned at SemEval-2025 Task 10: Beyond Training: A Taxonomy-Guided Approach to Role Classification Using LLMs
Alberto Caballero, Alvaro Rodrigo, Roberto Centeno
CSIRO-LT at SemEval-2025 Task 11: Adapting LLMs for Emotion Recognition for Multiple Languages
Jiyu Chen, Necva Bölücü, Sarvnaz Karimi et al.
OseiBrefo-Liang at SemEval-2025 Task 8 : A Multi-Agent LLM code generation approach for answering Tabular Questions
Emmanuel Osei-Brefo, Huizhi Liang
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.