Generation

MFinMeeting: A Multilingual, Multi-Sector, and Multi-Task Financial Meeting Understanding Evaluation Dataset ACL 2025 MG-MotionLLM: A Unified Framework for Motion Comprehension and Generation across Multiple Granularities CVPR 2025 MIDAS: Multi-level Intent, Domain, And Slot Knowledge Distillation for Multi-turn NLU NAACL 2025 MIG: Automatic Data Selection for Instruction Tuning by Maximizing Information Gain in Semantic Space ACL 2025 MilaNLP@Multilingual Counterspeech Generation: Evaluating Translation and Background Knowledge Filtering COLING 2025 Mimicking How Humans Interpret Out-of-Context Sentences Through Controlled Toxicity Decoding NAACL 2025 MIND: Math Informed syNthetic Dialogues for Pretraining LLMs ICLR 2025 Mind_Matrix at CQs-Gen 2025: Adaptive Generation of Critical Questions for Argumentative Interventions ACL 2025 MINDS: A Cross-Cultural Dialogue Corpus for Social Norm Classification and Adherence Detection IJCNLP 2025 Mind the Gap: Gender-based Differences in Occupational Embeddings ACL 2025 Mind the Gap: How BabyLMs Learn Filler-Gap Dependencies EMNLP 2025 Mind the Style Gap: Meta-Evaluation of Style and Attribute Transfer Metrics EMNLP 2025 MIND: Towards Immersive Psychological Healing with Multi-Agent Inner Dialogue EMNLP 2025 Mining Complex Patterns of Argumentative Reasoning in Natural Language Dialogue ACL 2025 MIRAGE-Bench: Automatic Multilingual Benchmark Arena for Retrieval-Augmented Generation Systems NAACL 2025 MIRAGE: Exploring How Large Language Models Perform in Complex Social Interactive Environments ACL 2025 MIRAGES at BioLaySumm2025: The Impact of Search Terms and Data Curation for Biomedical Lay Summarization ACL 2025 MISP-Meeting: A Real-World Dataset with Multimodal Cues for Long-form Meeting Transcription and Summarization ACL 2025 MissRAG: Addressing the Missing Modality Challenge in Multimodal Large Language Models ICCV 2025 Mitigate Position Bias in LLMs via Scaling a Single Hidden States Channel ACL 2025 Mitigating Gender Bias via Fostering Exploratory Thinking in LLMs EMNLP 2025 Mitigating Sequential Dependencies: A Survey of Algorithms and Systems for Generation-Refinement Frameworks in Autoregressive Models EMNLP 2025 Mitigating Tail Narrowing in LLM Self-Improvement via Socratic-Guided Sampling NAACL 2025 Mitigating the Privacy Issues in Retrieval-Augmented Generation (RAG) via Pure Synthetic Data EMNLP 2025 MITRA-zh-eval: Using a Buddhist Chinese Language Evaluation Dataset to Assess Machine Translation and Evaluation Metrics NAACL 2025