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

Rethinking Direct Preference Optimization in Diffusion Models AAAI 2026
What Makes a Good Generated Image? Investigating Human and Multimodal LLM Image Preference Alignment AAAI 2026
GeoArena: Evaluating Open-World Geographic Reasoning in Large Vision-Language Models ACL 2026
ARF-RLHF: Adaptive Reward-Following for RLHF through Emotion-Driven Self-Supervision and Trace-Biased Dynamic Optimization ACL 2026
AudioJudge: Understanding What Works in Large Audio Model Based Speech Evaluation EACL 2026
From Detection to Explanation: Modeling Fine-Grained Emotional Social Influence Techniques with LLMs and Human Preferences EACL 2026
VisionReward: Fine-Grained Multi-Dimensional Human Preference Learning for Image and Video Generation AAAI 2026
PAM: Enhancing General Alignment of Large Reasoning Models through Priority-Aware Metacognition ACL 2026
Multi-Task Reinforcement Learning for Enhanced Multimodal LLM-as-a-Judge ACL 2026
BAFIS: Dataset + Framework to Assess Occupational Bias and Human Preference in Modern Text-to-image Models WACV 2026
Cheems: A Practical Guidance for Building and Evaluating Chinese Reward Models from Scratch ACL 2025
LexiLogic@CALCS 2025: Predicting Preferences in Generated Code-Switched Text NAACL 2025
Enhancing Reward Models for High-quality Image Generation: Beyond Text-Image Alignment ICCV 2025
F-Bench: Rethinking Human Preference Evaluation Metrics for Benchmarking Face Generation, Customization, and Restoration ICCV 2025
UCFE: A User-Centric Financial Expertise Benchmark for Large Language Models NAACL 2025
Exploring the Potential of LLMs as Personalized Assistants: Dataset, Evaluation, and Analysis ACL 2025
CAPO: Confidence Aware Preference Optimization Learning for Multilingual Preferences IJCNLP 2025
Re-evaluating Automatic LLM System Ranking for Alignment with Human Preference NAACL 2025
CritiQ: Mining Data Quality Criteria from Human Preferences ACL 2025
MVReward: Better Aligning and Evaluating Multi-View Diffusion Models with Human Preferences AAAI 2025
CodeArena: Evaluating and Aligning CodeLLMs on Human Preference EMNLP 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
DyMO: Training-Free Diffusion Model Alignment with Dynamic Multi-Objective Scheduling CVPR 2025
Annotation-Efficient Language Model Alignment via Diverse and Representative Response Texts EMNLP 2025