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preference optimization

273 papers

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Also known as

PO

Co-occurring keywords

large language model (12755) direct preference optimization (317) reinforcement learning (4122) reinforcement learning from human feedback (261) model alignment (219) language model alignment (142) language model (4573) supervised fine-tuning (310) reward model (251) preference learning (411)

Papers

WPO: Enhancing RLHF with Weighted Preference Optimization EMNLP 2024
The Importance of Online Data: Understanding Preference Fine-tuning via Coverage NIPS 2024
Group Robust Preference Optimization in Reward-free RLHF NIPS 2024
Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs NIPS 2024
Mercury: A Code Efficiency Benchmark for Code Large Language Models NIPS 2024
EPO: Hierarchical LLM Agents with Environment Preference Optimization EMNLP 2024
ORPO: Monolithic Preference Optimization without Reference Model EMNLP 2024
BPO: Staying Close to the Behavior LLM Creates Better Online LLM Alignment EMNLP 2024
mDPO: Conditional Preference Optimization for Multimodal Large Language Models EMNLP 2024
AlignCap: Aligning Speech Emotion Captioning to Human Preferences EMNLP 2024
Evaluating Psychological Safety of Large Language Models EMNLP 2024
Adversarial Preference Optimization: Enhancing Your Alignment via RM-LLM Game ACL 2024
Parrot: Enhancing Multi-Turn Instruction Following for Large Language Models ACL 2024
Trial and Error: Exploration-Based Trajectory Optimization of LLM Agents ACL 2024
Discovering Preference Optimization Algorithms with and for Large Language Models NIPS 2024
Direct Unlearning Optimization for Robust and Safe Text-to-Image Models NIPS 2024
Would I Lie To You? Inference Time Alignment of Language Models using Direct Preference Heads NIPS 2024
Aligning Target-Aware Molecule Diffusion Models with Exact Energy Optimization NIPS 2024
Calibrated Self-Rewarding Vision Language Models NIPS 2024
Beyond One-Preference-Fits-All Alignment: Multi-Objective Direct Preference Optimization ACL 2024
Personalized Steering of Large Language Models: Versatile Steering Vectors Through Bi-directional Preference Optimization NIPS 2024
LACIE: Listener-Aware Finetuning for Calibration in Large Language Models NIPS 2024
A Critical Evaluation of AI Feedback for Aligning Large Language Models NIPS 2024