model alignment

HelpSteer2-Preference: Complementing Ratings with Preferences ICLR 2025 How Does Vision-Language Adaptation Impact the Safety of Vision Language Models? ICLR 2025 How to Mitigate Overfitting in Weak-to-strong Generalization? ACL 2025 HSCR: Hierarchical Self-Contrastive Rewarding for Aligning Medical Vision Language Models ACL 2025 Improve LLM-as-a-Judge Ability as a General Ability EMNLP 2025 Improving Alignment in LVLMs with Debiased Self-Judgment EMNLP 2025 Improving Large Vision and Language Models by Learning from a Panel of Peers ICCV 2025 Improving Reward Models with Synthetic Critiques NAACL 2025 InsBank: Evolving Instruction Subset for Ongoing Alignment EMNLP 2025 Interweaving Memories of a Siamese Large Language Model AAAI 2025 IOPO: Empowering LLMs with Complex Instruction Following via Input-Output Preference Optimization ACL 2025 Is LLM an Overconfident Judge? Unveiling the Capabilities of LLMs in Detecting Offensive Language with Annotation Disagreement ACL 2025 Jailbreaking as a Reward Misspecification Problem ICLR 2025 Judge Decoding: Faster Speculative Sampling Requires Going Beyond Model Alignment ICLR 2025 L3Ms — Lagrange Large Language Models ICLR 2025 Language Models Learn to Mislead Humans via RLHF ICLR 2025 Large Vision-Language Model Alignment and Misalignment: A Survey Through the Lens of Explainability EMNLP 2025 Learning Dynamics of LLM Finetuning ICLR 2025 Little Giants: Synthesizing High-Quality Embedding Data at Scale NAACL 2025 LLaVA-Critic: Learning to Evaluate Multimodal Models CVPR 2025 LLM Alignment for the Arabs: A Homogenous Culture or Diverse Ones NAACL 2025 LongPO: Long Context Self-Evolution of Large Language Models through Short-to-Long Preference Optimization ICLR 2025 MAIN: Mutual Alignment Is Necessary for instruction tuning EMNLP 2025 Massive Supervised Fine-tuning Experiments Reveal How Data, Layer, and Training Factors Shape LLM Alignment Quality EMNLP 2025 Measuring And Improving Persuasiveness Of Large Language Models ICLR 2025