conftrace_

preference optimization

355 papers

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Also known as

PO

Co-occurring keywords · papers mentioning both

large language model (156) direct preference optimization (50) reinforcement learning (44) reinforcement learning from human feedback (36) language model alignment (31) model alignment (30) language model (29) supervised fine-tuning (29) reward model (23) diffusion model (18)

Papers

ClueAnchor: Clue-Anchored Knowledge Reasoning Exploration and Optimization for Retrieval-Augmented Generation EMNLP 2025 CodeDPO: Aligning Code Models with Self Generated and Verified Source Code ACL 2025 Co-Evolving LLMs and Embedding Models via Density-Guided Preference Optimization for Text Clustering EMNLP 2025 Comparing Bad Apples to Good Oranges Aligning Large Language Models via Joint Preference Optimization ACL 2025 ComPO: Community Preferences for Language Model Personalization NAACL 2025 Controllable Protein Sequence Generation with LLM Preference Optimization AAAI 2025 Controlling Language Confusion in Multilingual LLMs ACL 2025 COPR: Continual Human Preference Learning via Optimal Policy Regularization ACL 2025 Correcting the Mythos of KL-Regularization: Direct Alignment without Overoptimization via Chi-Squared Preference Optimization ICLR 2025 CoTD-PO: Chain-of-Thought Distillation with Preference Optimization EMNLP 2025 Counterspeech the ultimate shield! Multi-Conditioned Counterspeech Generation through Attributed Prefix Learning ACL 2025 Creative Preference Optimization EMNLP 2025 Critic-V: VLM Critics Help Catch VLM Errors in Multimodal Reasoning CVPR 2025 Cross-Cultural Transfer of Commonsense Reasoning in LLMs: Evidence from the Arab World EMNLP 2025 Cross-Lingual Transfer of Debiasing and Detoxification in Multilingual LLMs: An Extensive Investigation ACL 2025 CRPO: Confidence-Reward Driven Preference Optimization for Machine Translation ACL 2025 CTR-Guided Generative Query Suggestion in Conversational Search EMNLP 2025 Cycle Consistency as Reward: Learning Image-Text Alignment without Human Preferences ICCV 2025 DAST: Difficulty-Adaptive Slow-Thinking for Large Reasoning Models EMNLP 2025 Data Distillation for extrapolative protein design through exact preference optimization ICLR 2025 Data with High and Consistent Preference Difference Are Better for Reward Model AAAI 2025 DavIR: Data Selection via Implicit Reward for Large Language Models ACL 2025 DCRM: A Heuristic to Measure Response Pair Quality in Preference Optimization EMNLP 2025 Debate, Reflect, and Distill: Multi-Agent Feedback with Tree-Structured Preference Optimization for Efficient Language Model Enhancement ACL 2025 Debiasing Multimodal Large Language Models via Noise-Aware Preference Optimization CVPR 2025