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Large Language Models

9,341 papers

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Papers

UCL-Bench: A Chinese User-Centric Legal Benchmark for Large Language Models NAACL 2025 UCSC at SemEval-2025 Task 3: Context, Models and Prompt Optimization for Automated Hallucination Detection in LLM Output SemEval 2025 UCSC at SemEval-2025 Task 8: Question Answering over Tabular Data SemEval 2025 UCSC NLP T6 at SemEval-2025 Task 1: Leveraging LLMs and VLMs for Idiomatic Understanding SemEval 2025 UCSP Submission to the AmericasNLP 2025 Shared Task NAACL 2025 UGMathBench: A Diverse and Dynamic Benchmark for Undergraduate-Level Mathematical Reasoning with Large Language Models ICLR 2025 UICOMPASS: UI Map Guided Mobile Task Automation via Adaptive Action Generation EMNLP 2025 UI-E2I-Synth: Advancing GUI Grounding with Large-Scale Instruction Synthesis ACL 2025 UIMP-Aaman at SemEval-2025 Task11: Detecting Intensity and Emotion in Social Media and News SemEval 2025 uir-cis at SemEval-2025 Task 3: Detection of Hallucinations in Generated Text SemEval 2025 UltraIF: Advancing Instruction Following from the Wild EMNLP 2025 U-MATH: A University-Level Benchmark for Evaluating Mathematical Skills in Large Language Models ACL 2025 uMedSum: A Unified Framework for Clinical Abstractive Summarization ACL 2025 UMUTeam at SemEval-2025 Task 7: Multilingual Fact-Checked Claim Retrieval with XLM-RoBERTa and Self-Alignment Pretraining Strategy SemEval 2025 Uncertainty in Semantic Language Modeling with PIXELS EMNLP 2025 UNCERTAINTY-LINE: Length-Invariant Estimation of Uncertainty for Large Language Models EMNLP 2025 UNCLE: Benchmarking Uncertainty Expressions in Long-Form Generation EMNLP 2025 Un-considering Contextual Information: Assessing LLMs’ Understanding of Indexical Elements ACL 2025 Uncovering Factor-Level Preference to Improve Human-Model Alignment EMNLP 2025 Uncovering Latent Arguments in Social Media Messaging by Employing LLMs-in-the-Loop Strategy NAACL 2025 Uncovering Overfitting in Large Language Model Editing ICLR 2025 Understanding and Controlling Repetition Neurons and Induction Heads in In-Context Learning IJCNLP 2025 Understanding and Improving Information Preservation in Prompt Compression for LLMs EMNLP 2025 Understanding and Meeting Practitioner Needs When Measuring Representational Harms Caused by LLM-Based Systems ACL 2025 Understanding and Mitigating Overrefusal in LLMs from an Unveiling Perspective of Safety Decision Boundary EMNLP 2025