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conftrace_

direct preference optimization

427 papers

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Also known as

DPO

Co-occurring keywords · papers mentioning both

large language model (156) reinforcement learning from human feedback (63) preference optimization (50) preference learning (46) language model alignment (45) supervised fine-tuning (44) preference alignment (37) reward model (33) reinforcement learning (32) model alignment (32)

Papers

Optimizing Reasoning for Text-to-SQL with Execution Feedback ACL 2025 PA-RAG: RAG Alignment via Multi-Perspective Preference Optimization NAACL 2025 PatchDPO: Patch-level DPO for Finetuning-free Personalized Image Generation CVPR 2025 Periodical Moving Average Accelerates Gradient Accumulation for Post-Training UAI 2025 Permutative Preference Alignment from Listwise Ranking of Human Judgments EMNLP 2025 PersLLM: A Personified Training Approach for Large Language Models EMNLP 2025 Persona-Consistent Dialogue Generation via Pseudo Preference Tuning COLING 2025 Personality Alignment of Large Language Models ICLR 2025 Personalized Preference Fine-tuning of Diffusion Models CVPR 2025 Playpen: An Environment for Exploring Learning From Dialogue Game Feedback EMNLP 2025 Policy-labeled Preference Learning: Is Preference Enough for RLHF? ICML 2025 Policy Teaching via Data Poisoning in Learning from Human Preferences AISTATS 2025 Preference Optimization for Reasoning with Pseudo Feedback ICLR 2025 Preference-Oriented Supervised Fine-Tuning: Favoring Target Model over Aligned Large Language Models AAAI 2025 Private Federated Learning using Preference-Optimized Synthetic Data ICML 2025 Process-Supervised Reinforcement Learning for Code Generation EMNLP 2025 Putting People in LLMs’ Shoes: Generating Better Answers via Question Rewriter AAAI 2025 RadQA-DPO: A Radiology Question Answering System with Encoder-Decoder Models Enhanced by Direct Preference Optimization ACL 2025 RainbowPO: A Unified Framework for Combining Improvements in Preference Optimization ICLR 2025 RAR2: Retrieval-Augmented Medical Reasoning via Thought-Driven Retrieval EMNLP 2025 Re-Align: Aligning Vision Language Models via Retrieval-Augmented Direct Preference Optimization EMNLP 2025 ReCoT: Reflective Self-Correction Training for Mitigating Confirmation Bias in Large Vision-Language Models ICCV 2025 RedHit: Adaptive Red-Teaming of Large Language Models via Search, Reasoning, and Preference Optimization ACL 2025 Refining Text Generation for Realistic Conversational Recommendation via Direct Preference Optimization EMNLP 2025 Rethinking DPO-style Diffusion Aligning Frameworks ICCV 2025