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

Cal-DPO: Calibrated Direct Preference Optimization for Language Model Alignment NeurIPS 2024 ChatGLM-Math: Improving Math Problem-Solving in Large Language Models with a Self-Critique Pipeline EMNLP 2024 Diffusion Model Alignment Using Direct Preference Optimization CVPR 2024 Direct Large Language Model Alignment Through Self-Rewarding Contrastive Prompt Distillation ACL 2024 Direct Multi-Turn Preference Optimization for Language Agents EMNLP 2024 Direct Preference Optimization for Neural Machine Translation with Minimum Bayes Risk Decoding NAACL 2024 Direct Preference Optimization for Suppressing Hallucinated Prior Exams in Radiology Report Generation MLHC 2024 Direct Preference Optimization with an Offset ACL 2024 Disentangling Length from Quality in Direct Preference Optimization ACL 2024 Eliminating Biased Length Reliance of Direct Preference Optimization via Down-Sampled KL Divergence EMNLP 2024 Enhancing Alignment using Curriculum Learning & Ranked Preferences EMNLP 2024 Evaluating Psychological Safety of Large Language Models EMNLP 2024 Evolutionary Contrastive Distillation for Language Model Alignment EMNLP 2024 Filtered Direct Preference Optimization EMNLP 2024 Fine-Tuning and Retrieval Augmented Generation for Question Answering Using Affordable Large Language Models COLING 2024 Fine-Tuning Language Models for Factuality ICLR 2024 FuxiTranyu: A Multilingual Large Language Model Trained with Balanced Data EMNLP 2024 GDPO: Learning to Directly Align Language Models with Diversity Using GFlowNets EMNLP 2024 Geometric-Averaged Preference Optimization for Soft Preference Labels NeurIPS 2024 GRATH: Gradual Self-Truthifying for Large Language Models ICML 2024 Hybrid Alignment Training for Large Language Models ACL 2024 Improving Conversational Abilities of Quantized Large Language Models via Direct Preference Alignment ACL 2024 Improving Socratic Question Generation using Data Augmentation and Preference Optimization NAACL 2024 InferAligner: Inference-Time Alignment for Harmlessness through Cross-Model Guidance EMNLP 2024 Inverse-Q*: Token Level Reinforcement Learning for Aligning Large Language Models Without Preference Data EMNLP 2024