3 papers
cs.CV2026
Interpretable Zero-shot Referring Expression Comprehension with Query-driven Scene Graphs
Yike Wu, Necva Bolucu, Stephen Wan +3
Zero-shot referring expression comprehension (REC) aims to locate target objects in images given natural language queries without relying on task-specific training data, demanding…
cs.LG2026
Unifying Stable Optimization and Reference Regularization in RLHF
Li He, Qiang Qu, He Zhao +4
Reinforcement Learning from Human Feedback (RLHF) has advanced alignment capabilities significantly but remains hindered by two core challenges: \textbf{reward hacking} and \textbf…
cs.AI2025
Direct Advantage Regression: Aligning LLMs with Online AI Reward
Li He, He Zhao, Stephen Wan +3
Online AI Feedback (OAIF) presents a promising alternative to Reinforcement Learning from Human Feedback (RLHF) by utilizing online AI preference in aligning language models (LLMs)…