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Papers (including subtopics)

Understanding Synthetic Context Extension via Retrieval Heads ICML 2025 Understanding the Gap: an Analysis of Research Collaborations in NLP and Language Documentation ACL 2025 Understanding the Generalization of In-Context Learning in Transformers: An Empirical Study ICLR 2025 Understanding the Impact of Confidence in Retrieval Augmented Generation: A Case Study in the Medical Domain ACL 2025 Understand, Solve and Translate: Bridging the Multilingual Mathematical Reasoning Gap EMNLP 2025 Understand the Implication: Learning to Think for Pragmatic Understanding ACL 2025 Understand User Opinions of Large Language Models via LLM-Powered In-the-Moment User Experience Interviews ACL 2025 UNEDTeam at SemEval-2025 Task 10: Zero-Shot Narrative Classification SemEval 2025 Unfolding the Headline: Iterative Self-Questioning for News Retrieval and Timeline Summarization NAACL 2025 UniBuc at SemEval-2025 Task 9: Similarity Approaches to Classification SemEval 2025 UniBuc-SB at ArchEHR-QA 2025: A Resource-Constrained Pipeline for Relevance Classification and Grounded Answer Synthesis ACL 2025 UNIBUC-SD at ArchEHR-QA 2025: Prompting Our Way to Clinical QA with Multi-Model Ensembling ACL 2025 UniCoM: A Universal Code-Switching Speech Generator EMNLP 2025 UniConv: Unifying Retrieval and Response Generation for Large Language Models in Conversations ACL 2025 Unified Automated Essay Scoring and Grammatical Error Correction NAACL 2025 Unified Grid Tagging Scheme for Aspect Sentiment Quad Prediction COLING 2025 Unifying Large Language Models and Knowledge Graphs for efficient Regulatory Information Retrieval and Answer Generation COLING 2025 UniHGKR: Unified Instruction-aware Heterogeneous Knowledge Retrievers NAACL 2025 Unilaw-R1: A Large Language Model for Legal Reasoning with Reinforcement Learning and Iterative Inference EMNLP 2025 UniLR: Unleashing the Power of LLMs on Multiple Legal Tasks with a Unified Legal Retriever ACL 2025 Union Is Strength! Unite the Power of LLMs and MLLMs for Chart Question Answering AAAI 2025 UniRAG: A Unified RAG Framework for Knowledge-Intensive Queries with Decomposition, Break-Down Reasoning, and Iterative Rewriting EMNLP 2025 UniRAG: Unified Query Understanding Method for Retrieval Augmented Generation ACL 2025 UniT: One Document, Many Revisions, Too Many Edit Intention Taxonomies ACL 2025 University of Indonesia at SemEval-2025 Task 11: Evaluating State-of-the-Art Encoders for Multi-Label Emotion Detection SemEval 2025