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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

Detecting and Mitigating Hallucination in Large Vision Language Models via Fine-Grained AI Feedback AAAI 2025 Detoxifying Large Language Models via the Diversity of Toxic Samples EMNLP 2025 Developing Multimodal Healthcare Foundation Model: From Data-driven to Knowledge-enhanced AAAI 2025 D-Fusion: Direct Preference Optimization for Aligning Diffusion Models with Visually Consistent Samples ICML 2025 Direct Judgement Preference Optimization EMNLP 2025 Direct Preference Optimization of Video Large Multimodal Models from Language Model Reward NAACL 2025 Diverse Preference Learning for Capabilities and Alignment ICLR 2025 Divide-Then-Align: Honest Alignment based on the Knowledge Boundary of RAG ACL 2025 DPL: Diverse Preference Learning Without A Reference Model NAACL 2025 DPO Kernels: A Semantically-Aware, Kernel-Enhanced, and Divergence-Rich Paradigm for Direct Preference Optimization ACL 2025 DPO Meets PPO: Reinforced Token Optimization for RLHF ICML 2025 DreamDPO: Aligning Text-to-3D Generation with Human Preferences via Direct Preference Optimization ICML 2025 DSO: Aligning 3D Generators with Simulation Feedback for Physical Soundness ICCV 2025 DSPO: Direct Score Preference Optimization for Diffusion Model Alignment ICLR 2025 Dually Self-Improved Counterfactual Data Augmentation Using Large Language Model ACL 2025 Earlier Tokens Contribute More: Learning Direct Preference Optimization From Temporal Decay Perspective ICLR 2025 Enhancing Large Vision-Language Models with Ultra-Detailed Image Caption Generation EMNLP 2025 Enhancing Ligand Validity and Affinity in Structure-Based Drug Design with Multi-Reward Optimization ICML 2025 Enhancing LLM-Based Social Bot via an Adversarial Learning Framework EMNLP 2025 Enhancing Logical Reasoning in Language Models via Symbolically-Guided Monte Carlo Process Supervision EMNLP 2025 Enhancing Machine Translation with Self-Supervised Preference Data ACL 2025 Enhancing SAM with Efficient Prompting and Preference Optimization for Semi-supervised Medical Image Segmentation CVPR 2025 Evaluating and Aligning Human Economic Risk Preferences in LLMs EMNLP 2025 Evaluating and Mitigating Object Hallucination in Large Vision-Language Models: Can They Still See Removed Objects? NAACL 2025 ExpandR: Teaching Dense Retrievers Beyond Queries with LLM Guidance EMNLP 2025