activity
20232026
most citedHuman Still Wins over LLM: An Empirical Study of Active Learning on Domain-Specific Annotation Tasks

3 citations · 3 across the 8 of their papers we have counts for

collaborators
Showing 2026 · cs.CLShow all

1 paper · 2 filters

cs.CL2026

Fast-Slow Thinking RM: Efficient Integration of Scalar and Generative Reward Models

Jiayun Wu, Peixu Hou, Shan Qu +4

Reward models (RMs) are critical for aligning Large Language Models via Reinforcement Learning from Human Feedback (RLHF). While Generative Reward Models (GRMs) achieve superior ac…