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

Feasible Learning AISTATS 2025 Fine-grained Video Dubbing Duration Alignment with Segment Supervised Preference Optimization ACL 2025 FocalPO: Enhancing Preference Optimizing by Focusing on Correct Preference Rankings ACL 2025 Focused-DPO: Enhancing Code Generation Through Focused Preference Optimization on Error-Prone Points ACL 2025 Forward KL Regularized Preference Optimization for Aligning Diffusion Policies AAAI 2025 FRACTAL: Fine-Grained Scoring from Aggregate Text Labels ACL 2025 Grounding by Trying: LLMs with Reinforcement Learning-Enhanced Retrieval ICLR 2025 HEAL: A Hypothesis-Based Preference-Aware Analysis Framework EMNLP 2025 HelpSteer3: Human-Annotated Feedback and Edit Data to Empower Inference-Time Scaling in Open-Ended General-Domain Tasks ACL 2025 Image Difference Captioning via Adversarial Preference Optimization EMNLP 2025 IMG: Calibrating Diffusion Models via Implicit Multimodal Guidance ICCV 2025 Imitate Before Detect: Aligning Machine Stylistic Preference for Machine-Revised Text Detection AAAI 2025 Improving Dialogue Discourse Parsing through Discourse-aware Utterance Clarification ACL 2025 Improving Long-Text Alignment for Text-to-Image Diffusion Models ICLR 2025 InFact: Informativeness Alignment for Improved LLM Factuality EMNLP 2025 Inferring from Logits: Exploring Best Practices for Decoding-Free Generative Candidate Selection ACL 2025 Intuitive Fine-Tuning: Towards Simplifying Alignment into a Single Process ACL 2025 IOPO: Empowering LLMs with Complex Instruction Following via Input-Output Preference Optimization ACL 2025 Iterative Label Refinement Matters More than Preference Optimization under Weak Supervision ICLR 2025 iTool: Reinforced Fine-Tuning with Dynamic Deficiency Calibration for Advanced Tool Use EMNLP 2025 JailPO: A Novel Black-Box Jailbreak Framework via Preference Optimization Against Aligned LLMs AAAI 2025 K-order Ranking Preference Optimization for Large Language Models ACL 2025 Language Models as Continuous Self-Evolving Data Engineers EMNLP 2025 Learning from negative feedback, or positive feedback or both ICLR 2025 Learning from Negative Samples in Biomedical Generative Entity Linking ACL 2025