Large Language Models

Learning Auxiliary Tasks Improves Reference-Free Hallucination Detection in Open-Domain Long-Form Generation ACL 2025 Learning Distribution-wise Control in Representation Space for Language Models ICML 2025 Learning Dynamics in Continual Pre-Training for Large Language Models ICML 2025 Learning Extrapolative Sequence Transformations from Markov Chains ICML 2025 Learning from Committee: Reasoning Distillation from a Mixture of Teachers with Peer-Review ACL 2025 Learning from others’ mistakes: Finetuning machine translation models with span-level error annotations ICML 2025 Learning Invariant Causal Mechanism from Vision-Language Models ICML 2025 Learning Like Humans: Advancing LLM Reasoning Capabilities via Adaptive Difficulty Curriculum Learning and Expert-Guided Self-Reformulation EMNLP 2025 Learning Safety Constraints for Large Language Models ICML 2025 Learning Strategic Language Agents in the Werewolf Game with Iterative Latent Space Policy Optimization ICML 2025 Learning Task Representations from In-Context Learning ACL 2025 Learning Theorem Rationale for Improving the Mathematical Reasoning Capability of Large Language Models AAAI 2025 Learning the RoPEs: Better 2D and 3D Position Encodings with STRING ICML 2025 Learning to Ask: When LLM Agents Meet Unclear Instruction EMNLP 2025 Learning to Generate Structured Output with Schema Reinforcement Learning ACL 2025 Learning Together to Perform Better: Teaching Small-Scale LLMs to Collaborate via Preferential Rationale Tuning ACL 2025 Learning to Keep a Promise: Scaling Language Model Decoding Parallelism with Learned Asynchronous Decoding ICML 2025 Learning to Look at the Other Side: A Semantic Probing Study of Word Embeddings in LLMs with Enabled Bidirectional Attention ACL 2025 Learning to Reason Over Time: Timeline Self-Reflection for Improved Temporal Reasoning in Language Models ACL 2025 Learning to Rewrite Negation Queries in Product Search COLING 2025 Learning to Route LLMs with Confidence Tokens ICML 2025 Learning to Sample Effective and Diverse Prompts for Text-to-Image Generation CVPR 2025 Learning to Search Effective Example Sequences for In-Context Learning NAACL 2025 Learning to vary: Teaching LMs to reproduce human linguistic variability in next-word prediction EMNLP 2025 LearnLens: LLM-Enabled Personalised, Curriculum-Grounded Feedback with Educators in the Loop EMNLP 2025