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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

Supportiveness-based Knowledge Rewriting for Retrieval-augmented Language Modeling NAACL 2025 SymDPO: Boosting In-Context Learning of Large Multimodal Models with Symbol Demonstration Direct Preference Optimization CVPR 2025 Synthetic Paths to Integral Truth: Mitigating Hallucinations Caused by Confirmation Bias with Synthetic Data COLING 2025 Teaching Your Models to Understand Code via Focal Preference Alignment EMNLP 2025 Team XSZ at BioLaySumm2025: Section-Wise Summarization, Retrieval-Augmented LLM, and Reinforcement Learning Fine-Tuning for Lay Summaries ACL 2025 Textual Aesthetics in Large Language Models EMNLP 2025 TGDPO: Harnessing Token-Level Reward Guidance for Enhancing Direct Preference Optimization ICML 2025 The Crucial Role of Samplers in Online Direct Preference Optimization ICLR 2025 TIS-DPO: Token-level Importance Sampling for Direct Preference Optimization With Estimated Weights ICLR 2025 TODO: Enhancing LLM Alignment with Ternary Preferences ICLR 2025 Token Preference Optimization with Self-Calibrated Visual-Anchored Rewards for Hallucination Mitigation EMNLP 2025 Towards Human Understanding of Paraphrase Types in Large Language Models COLING 2025 Towards Robust Alignment of Language Models: Distributionally Robustifying Direct Preference Optimization ICLR 2025 Towards Universal Debiasing for Language Models-based Tabular Data Generation EMNLP 2025 TPO: Aligning Large Language Models with Multi-branch & Multi-step Preference Trees ICLR 2025 Training of LLM-Based List-Wise Multilingual Reranker EMNLP 2025 TreeBoN: Enhancing Inference-Time Alignment with Speculative Tree-Search and Best-of-N Sampling EMNLP 2025 Uncertainty-Aware Iterative Preference Optimization for Enhanced LLM Reasoning ACL 2025 Uncovering the Impact of Chain-of-Thought Reasoning for Direct Preference Optimization: Lessons from Text-to-SQL ACL 2025 Understanding Reference Policies in Direct Preference Optimization NAACL 2025 Unilaw-R1: A Large Language Model for Legal Reasoning with Reinforcement Learning and Iterative Inference EMNLP 2025 Unintentional Unalignment: Likelihood Displacement in Direct Preference Optimization ICLR 2025 Using LLMs and Preference Optimization for Agreement-Aware HateWiC Classification ACL 2025 VidChain: Chain-of-Tasks with Metric-based Direct Preference Optimization for Dense Video Captioning AAAI 2025 VideoDPO: Omni-Preference Alignment for Video Diffusion Generation CVPR 2025