1 citations · 2 across the 9 of their papers we have counts for
Showing 2025Show all
3 papers · 1 filter
cs.CL2025
An Analysis of Large Language Models for Simulating User Responses in Surveys
Ziyun Yu, Yiru Zhou, Chen Zhao +1
Using Large Language Models (LLMs) to simulate user opinions has received growing attention. Yet LLMs, especially trained with reinforcement learning from human feedback (RLHF), ar…
cs.LG2025
Bottom-up Policy Optimization: Your Language Model Policy Secretly Contains Internal Policies
Yuqiao Tan, Minzheng Wang, Shizhu He +6
Existing reinforcement learning (RL) approaches treat large language models (LLMs) as a unified policy, overlooking their internal mechanisms. In this paper, we decompose the LLM-b…
cs.CL2025
Leaps Beyond the Seen: Reinforced Reasoning Augmented Generation for Clinical Notes
Lo Pang-Yun Ting, Chengshuai Zhao, Yu-Hua Zeng +3
Clinical note generation aims to produce free-text summaries of a patient's condition and diagnostic process, with discharge instructions being a representative long-form example.…