Skip to content
conftrace_

preference optimization

355 papers

Explore in graph

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

DecoupledESC: Enhancing Emotional Support Generation via Strategy-Response Decoupled Preference Optimization EMNLP 2025 DiffPO: Diffusion-styled Preference Optimization for Inference Time Alignment of Large Language Models ACL 2025 Diffusion-NPO: Negative Preference Optimization for Better Preference Aligned Generation of Diffusion Models ICLR 2025 Direct Distributional Optimization for Provable Alignment of Diffusion Models ICLR 2025 Diverse, not Short: A Length-Controlled Data Selection Strategy for Improving Response Diversity of Language Models EMNLP 2025 DreamAlign: Dynamic Text-to-3D Optimization with Human Preference Alignment AAAI 2025 DreamFuse: Adaptive Image Fusion with Diffusion Transformer ICCV 2025 Edit-Wise Preference Optimization for Grammatical Error Correction COLING 2025 Eeyore: Realistic Depression Simulation via Expert-in-the-Loop Supervised and Preference Optimization ACL 2025 Efficient Long Context Language Model Retrieval with Compression ACL 2025 Efficient Safety Alignment of Large Language Models via Preference Re-ranking and Representation-based Reward Modeling ACL 2025 Empowering Math Problem Generation and Reasoning for Large Language Model via Synthetic Data based Continual Learning Framework EMNLP 2025 EnAnchored-X2X: English-Anchored Optimization for Many-to-Many Translation EMNLP 2025 Enhancing Audiovisual Speech Recognition Through Bifocal Preference Optimization AAAI 2025 Enhancing LLM-Based Social Bot via an Adversarial Learning Framework EMNLP 2025 Enhancing Machine Translation with Self-Supervised Preference Data ACL 2025 Enhancing Safe and Controllable Protein Generation via Knowledge Preference Optimization ACL 2025 Enhancing Tool Learning in Large Language Models with Hierarchical Error Checklists ACL 2025 Evaluating and Aligning Human Economic Risk Preferences in LLMs EMNLP 2025 Evaluating Design Choices in Verifiable Generation with Open-source Models NAACL 2025 Expectation Confirmation Preference Optimization for Multi-Turn Conversational Recommendation Agent ACL 2025 Expectation Preference Optimization: Reliable Preference Estimation for Improving the Reasoning Capability of Large Language Models EMNLP 2025 Exploratory Preference Optimization: Harnessing Implicit Q*-Approximation for Sample-Efficient RLHF ICLR 2025 Exploring the Generalizability of Factual Hallucination Mitigation via Enhancing Precise Knowledge Utilization EMNLP 2025 Factorized Learning for Temporally Grounded Video-Language Models ICCV 2025