Papers
MPO: Multilingual Safety Alignment via Reward Gap Optimization
Weixiang Zhao, Yulin Hu, Yang Deng et al.
MPVStance: Mitigating Hallucinations in Stance Detection with Multi-Perspective Verification
ZhaoDan Zhang, Zhao Zhang, Jin Zhang et al.
mRAKL: Multilingual Retrieval-Augmented Knowledge Graph Construction for Low-Resourced Languages
Hellina Hailu Nigatu, Min Li, Maartje Ter Hoeve et al.
M-RangeDetector: Enhancing Generalization in Machine-Generated Text Detection through Multi-Range Attention Masks
Kaijie Jiao, Quan Wang, Licheng Zhang et al.
M-RewardBench: Evaluating Reward Models in Multilingual Settings
Srishti Gureja, Lester James Validad Miranda, Shayekh Bin Islam et al.
MRS at SemEval-2025 Task 11: A Hybrid Approach for Bridging the Gap in Text-Based Emotion Detection
Milad Afshari, Richard Frost, Samantha Kissel et al.
Mr. Snuffleupagus at SemEval-2025 Task 4: Unlearning Factual Knowledge from LLMs Using Adaptive RMU
Arjun Dosajh, Mihika Sanghi
MRT at SemEval-2025 Task 8: Maximizing Recovery from Tables with Multiple Steps
Maximiliano Hormazábal Lagos, Álvaro Bueno Sáez, Héctor Cerezo - Costas et al.
MSA at BEA 2025 Shared Task: Disagreement-Aware Instruction Tuning for Multi-Dimensional Evaluation of LLMs as Math Tutors
Baraa Hikal, Mohamed Basem, Islam Oshallah et al.
MSA at SemEval-2025 Task 3: High Quality Weak Labeling and LLM Ensemble Verification for Multilingual Hallucination Detection
Baraa Hikal, Ahmed Nasreldin, Ali Hamdi
mStyleDistance: Multilingual Style Embeddings and their Evaluation
Justin Qiu, Jiacheng Zhu, Ajay Patel et al.
MT2ST: Adaptive Multi-Task to Single-Task Learning
Dong Liu, Yanxuan Yu
MT-RAIG: Novel Benchmark and Evaluation Framework for Retrieval-Augmented Insight Generation over Multiple Tables
Kwangwook Seo, Donguk Kwon, Dongha Lee
MTSA: Multi-turn Safety Alignment for LLMs through Multi-round Red-teaming
Weiyang Guo, Jing Li, Wenya Wang et al.
MTVQA: Benchmarking Multilingual Text-Centric Visual Question Answering
Jingqun Tang, Qi Liu, Yongjie Ye et al.
MuCoS: Efficient Drug–Target Discovery via Multi-Context-Aware Sampling in Knowledge Graphs
Haji Gul, Abdul Ghani Naim, Ajaz Ahmad Bhat
MultiAgentBench : Evaluating the Collaboration and Competition of LLM agents
Kunlun Zhu, Hongyi Du, Zhaochen Hong et al.
Multi-Agent Collaboration via Cross-Team Orchestration
Zhuoyun Du, Chen Qian, Wei Liu et al.
Multi-Agent LLM Debate Unveils the Premise Left Unsaid
Harvey Bonmu Ku, Jeongyeol Shin, Hyoun Jun Lee et al.
Multi-Attribute Steering of Language Models via Targeted Intervention
Duy Nguyen, Archiki Prasad, Elias Stengel-Eskin et al.
MultiChallenge: A Realistic Multi-Turn Conversation Evaluation Benchmark Challenging to Frontier LLMs
Kaustubh Deshpande, Ved Sirdeshmukh, Johannes Baptist Mols et al.
Multi-Class versus Means-End: Assessing Classification Approaches for Argument Patterns
Maximilian Heinrich, Khalid Al Khatib, Benno Stein
Multi-Facet Blending for Faceted Query-by-Example Retrieval
Heejin Do, Sangwon Ryu, Jonghwi Kim et al.
MultiHoax: A Dataset of Multi-hop False-premise questions
Mohammadamin Shafiei, Hamidreza Saffari, Nafise Sadat Moosavi