large language model

UniHGKR: Unified Instruction-aware Heterogeneous Knowledge Retrievers NAACL 2025 UniICL: An Efficient ICL Framework Unifying Compression, Selection, and Generation ACL 2025 Unilaw-R1: A Large Language Model for Legal Reasoning with Reinforcement Learning and Iterative Inference EMNLP 2025 Unilogit: Robust Machine Unlearning for LLMs Using Uniform-Target Self-Distillation ACL 2025 UniLR: Unleashing the Power of LLMs on Multiple Legal Tasks with a Unified Legal Retriever ACL 2025 Unintended Harms of Value-Aligned LLMs: Psychological and Empirical Insights ACL 2025 UniPose: A Unified Multimodal Framework for Human Pose Comprehension, Generation and Editing CVPR 2025 UnitCoder: Scalable Code Synthesis from Pre-training Corpora EMNLP 2025 Unlearning Backdoor Attacks for LLMs with Weak-to-Strong Knowledge Distillation ACL 2025 Unlearning LLM-Based Speech Recognition Models Interspeech 2025 Unlearning or Obfuscating? Jogging the Memory of Unlearned LLMs via Benign Relearning ICLR 2025 Unleashing LLM Reasoning Capability via Scalable Question Synthesis from Scratch ACL 2025 Unleashing Multi-Hop Reasoning Potential in Large Language Models through Repetition of Misordered Context NAACL 2025 Unleashing the Potential of Large Language Models as Prompt Optimizers: Analogical Analysis with Gradient-based Model Optimizers AAAI 2025 Unleashing the Power of Task-Specific Directions in Parameter Efficient Fine-tuning ICLR 2025 Unleashing the Reasoning Potential of LLMs by Critique Fine-Tuning on One Problem EMNLP 2025 Unlocking Decoding-time Controllability: Gradient-Free Multi-Objective Alignment with Contrastive Prompts NAACL 2025 Unlocking Efficient, Scalable, and Continual Knowledge Editing with Basis-Level Representation Fine-Tuning ICLR 2025 Unlocking General Long Chain-of-Thought Reasoning Capabilities of Large Language Models via Representation Engineering ACL 2025 Unlocking Legal Knowledge: A Multilingual Dataset for Judicial Summarization in Switzerland EMNLP 2025 Unlocking LLM Safeguards for Low-Resource Languages via Reasoning and Alignment with Minimal Training Data EMNLP 2025 Unlocking LLMs’ Self-Improvement Capacity with Autonomous Learning for Domain Adaptation ACL 2025 Unlocking Post-hoc Dataset Inference with Synthetic Data ICML 2025 Unlocking the Capabilities of Large Vision-Language Models for Generalizable and Explainable Deepfake Detection ICML 2025 Unlocking the Planning Capabilities of Large Language Models with Maximum Diversity Fine-tuning NAACL 2025