Reinforcement Learning from Human Feedback
209 papers
Papers per year
1
1
1
15
75
81
35
'20
'25
Papers
Revisiting the (Sub)Optimality of Best-of-N for Inference-Time Alignment
COLT 2026
SafeGRPO: Self-Rewarded Multimodal Safety Alignment via Rule-Governed Policy Optimization
CVPR 2026
SoliReward: Mitigating Susceptibility to Reward Hacking and Annotation Noise in Video Generation Reward Models
CVPR 2026
StyleDoctor: Towards Specialist Reward Model for Style-centric Generation Tasks
CVPR 2026
Taming Preference Mode Collapse via Directional Decoupling Alignment in Diffusion Reinforcement Learning
CVPR 2026
Teach a Reward Model to Correct Itself: Reward Guided Adversarial Failure Discovery for Robust Reward Modeling
ACL 2026
Uncertainty-Aware Exploratory Direct Preference Optimization for Multimodal Large Language Models
CVPR 2026
What Do LLMs Learn First? Asymmetric Learning Dynamics of Input Complexity and Output Ambiguity in Preference Alignment
ACL 2026
WildReward: Learning Reward Models from In-the-Wild Human Interactions
ACL 2026
YNU-HPCC at SemEval-2026 Task 1: Constraint-Aware In-Context Learning for Multilingual Humor Generation
SemEval 2026
f-PO: Generalizing Preference Optimization with f-divergence Minimization
AISTATS 2025
3D-Properties: Identifying Challenges in DPO and Charting a Path Forward
ICLR 2025
AceMath: Advancing Frontier Math Reasoning with Post-Training and Reward Modeling
ACL 2025
Activation Steering Meets Preference Optimization: Defense Against Jailbreaks in Vision Language Model
ACML 2025
Agent-in-the-Loop: A Data Flywheel for Continuous Improvement in LLM-based Customer Support
EMNLP 2025
Aligning Black-Box LLMs for Aspect Sentiment Quad Prediction
EMNLP 2025
Aligning Language Models Using Follow-up Likelihood as Reward Signal
AAAI 2025
Aligning Language Models with Demonstrated Feedback
ICLR 2025
Aligning Large Language Models with Implicit Preferences from User-Generated Content
ACL 2025
Alleviating Shifted Distribution in Human Preference Alignment through Meta-Learning
AAAI 2025
Arbiters of Ambivalence: Challenges of using LLMs in No-Consensus tasks
ACL 2025
A Shared Low-Rank Adaptation Approach to Personalized RLHF
AISTATS 2025
As Simple as Fine-tuning: LLM Alignment via Bidirectional Negative Feedback Loss
ICLR 2025
A Systematic Analysis of Base Model Choice for Reward Modeling
EMNLP 2025
A Theoretical Framework for Partially-Observed Reward States in RLHF
ICLR 2025