conftrace_

human preference

124 papers

Explore in graph

Co-occurring keywords

large language model (13587) reinforcement learning from human feedback (278) preference learning (418) reward model (276) reinforcement learning (4352) model alignment (226) direct preference optimization (332) human preference alignment (42) language model (4599) text-to-image generation (587)

Papers

LMM4LMM: Benchmarking and Evaluating Large-multimodal Image Generation with LMMs ICCV 2025
K-Sort Arena: Efficient and Reliable Benchmarking for Generative Models via K-wise Human Preferences CVPR 2025
MVReward: Better Aligning and Evaluating Multi-View Diffusion Models with Human Preferences AAAI 2025
F-Bench: Rethinking Human Preference Evaluation Metrics for Benchmarking Face Generation, Customization, and Restoration ICCV 2025
Cheems: A Practical Guidance for Building and Evaluating Chinese Reward Models from Scratch ACL 2025
VisionArena: 230k Real World User-VLM Conversations with Preference Labels CVPR 2025
DeAL: Decoding-time Alignment for Large Language Models ACL 2025
Well Begun is Half Done: Low-resource Preference Alignment by Weak-to-Strong Decoding ACL 2025
Instantly Learning Preference Alignment via In-context DPO NAACL 2025
AdParaphrase v2.0: Generating Attractive Ad Texts Using a Preference-Annotated Paraphrase Dataset ACL 2025
Inverse Reinforcement Learning Meets Large Language Model Alignment ACL 2025
Focused-DPO: Enhancing Code Generation Through Focused Preference Optimization on Error-Prone Points ACL 2025
Lost in the Context: Insufficient and Distracted Attention to Contexts in Preference Modeling ACL 2025
CritiQ: Mining Data Quality Criteria from Human Preferences ACL 2025
Persona-judge: Personalized Alignment of Large Language Models via Token-level Self-judgment ACL 2025
Rating Roulette: Self-Inconsistency in LLM-As-A-Judge Frameworks EMNLP 2025
APLOT: Robust Reward Modeling via Adaptive Preference Learning with Optimal Transport EMNLP 2025
CAPO: Confidence Aware Preference Optimization Learning for Multilingual Preferences IJCNLP 2025
AdParaphrase: Paraphrase Dataset for Analyzing Linguistic Features toward Generating Attractive Ad Texts NAACL 2025
2D-DPO: Scaling Direct Preference Optimization with 2-Dimensional Supervision NAACL 2025
Reward Model Perspectives: Whose Opinions Do Reward Models Reward? EMNLP 2025
Structural Reward Model: Enhancing Interpretability, Efficiency, and Scalability in Reward Modeling EMNLP 2025
UCFE: A User-Centric Financial Expertise Benchmark for Large Language Models NAACL 2025
DyMO: Training-Free Diffusion Model Alignment with Dynamic Multi-Objective Scheduling CVPR 2025
Comparing Bad Apples to Good Oranges Aligning Large Language Models via Joint Preference Optimization ACL 2025