conftrace_

preference optimization

355 papers

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Also known as

PO

Co-occurring keywords · papers mentioning both

large language model (156) direct preference optimization (50) reinforcement learning (44) reinforcement learning from human feedback (36) language model alignment (31) model alignment (30) language model (29) supervised fine-tuning (29) reward model (23) diffusion model (18)

Papers

BPO: Staying Close to the Behavior LLM Creates Better Online LLM Alignment EMNLP 2024 Calibrated Self-Rewarding Vision Language Models NeurIPS 2024 Calibrating LLMs with Preference Optimization on Thought Trees for Generating Rationale in Science Question Scoring EMNLP 2024 Can Machine Unlearning Reduce Social Bias in Language Models? EMNLP 2024 Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs NeurIPS 2024 ChatGLM-Math: Improving Math Problem-Solving in Large Language Models with a Self-Critique Pipeline EMNLP 2024 Contrastive Policy Gradient: Aligning LLMs on sequence-level scores in a supervised-friendly fashion EMNLP 2024 Detecting and Preventing Hallucinations in Large Vision Language Models AAAI 2024 Direct Unlearning Optimization for Robust and Safe Text-to-Image Models NeurIPS 2024 Discovering Preference Optimization Algorithms with and for Large Language Models NeurIPS 2024 EPO: Hierarchical LLM Agents with Environment Preference Optimization EMNLP 2024 Evaluating Psychological Safety of Large Language Models EMNLP 2024 Generalized Preference Optimization: A Unified Approach to Offline Alignment ICML 2024 Group Robust Preference Optimization in Reward-free RLHF NeurIPS 2024 HIVE: Harnessing Human Feedback for Instructional Visual Editing CVPR 2024 Improving Factual Consistency of News Summarization by Contrastive Preference Optimization EMNLP 2024 Inverse-Q*: Token Level Reinforcement Learning for Aligning Large Language Models Without Preference Data EMNLP 2024 Iterative Reasoning Preference Optimization NeurIPS 2024 LACIE: Listener-Aware Finetuning for Calibration in Large Language Models NeurIPS 2024 Margin Matching Preference Optimization: Enhanced Model Alignment with Granular Feedback EMNLP 2024 mDPO: Conditional Preference Optimization for Multimodal Large Language Models EMNLP 2024 Mercury: A Code Efficiency Benchmark for Code Large Language Models NeurIPS 2024 Model-based Preference Optimization in Abstractive Summarization without Human Feedback EMNLP 2024 More Insightful Feedback for Tutoring: Enhancing Generation Mechanisms and Automatic Evaluation EMNLP 2024 Negating Negatives: Alignment with Human Negative Samples via Distributional Dispreference Optimization EMNLP 2024