large language model

Towards Global-level Mechanistic Interpretability: A Perspective of Modular Circuits of Large Language Models ICML 2025 Towards Harmonized Uncertainty Estimation for Large Language Models ACL 2025 Towards High-Quality LLM-Based Data for French Spontaneous Speech Simplification: an Exo-Refinement Approach Interspeech 2025 Towards Inclusive Arabic LLMs: A Culturally Aligned Benchmark in Arabic Large Language Model Evaluation COLING 2025 Towards Knowledge Checking in Retrieval-augmented Generation: A Representation Perspective NAACL 2025 Towards Knowledge-Guided Biomedical Lay Summarization using Large Language Models NAACL 2025 Towards LLM-powered Attentive Listener: A Pragmatic Approach through Quantity Self-Repair ACL 2025 Towards LLM Unlearning Resilient to Relearning Attacks: A Sharpness-Aware Minimization Perspective and Beyond ICML 2025 Towards Medical Complex Reasoning with LLMs through Medical Verifiable Problems ACL 2025 Towards Multi-dimensional Evaluation of LLM Summarization across Domains and Languages ACL 2025 Towards Multi-Document Question Answering in Scientific Literature: Pipeline, Dataset, and Evaluation EMNLP 2025 Towards Objective Fine-tuning: How LLMs’ Prior Knowledge Causes Potential Poor Calibration? ACL 2025 Towards Omnimodal Expressions and Reasoning in Referring Audio-Visual Segmentation ICCV 2025 Towards Open Foundation Language Model and Corpus for Macedonian: A Low-Resource Language ACL 2025 Towards Optimal Evaluation Efficiency for Large Language Models EMNLP 2025 Towards Optimal Multi-draft Speculative Decoding ICLR 2025 Towards Practical and Knowledgeable LLMs for a Multilingual World: A Thesis Proposal NAACL 2025 Towards Rationality in Language and Multimodal Agents: A Survey NAACL 2025 Towards Reliable Agents: Benchmarking Customized LLM-Based Retrieval-Augmented Generation Frameworks with Deployment Validation NAACL 2025 Towards Reliable Large Audio Language Model ACL 2025 Towards Reliable Retrieval in RAG Systems for Large Legal Datasets EMNLP 2025 Towards Reward Fairness in RLHF: From a Resource Allocation Perspective ACL 2025 Towards Robust and Parameter-Efficient Knowledge Unlearning for LLMs ICLR 2025 Towards Robust Knowledge Unlearning: An Adversarial Framework for Assessing and Improving Unlearning Robustness in Large Language Models AAAI 2025 Towards Robust Universal Information Extraction: Dataset, Evaluation, and Solution ACL 2025