2 citations · 2 across the 5 of their papers we have counts for
5 papers
EP-GRPO: Entropy-Progress Aligned Group Relative Policy Optimization with Implicit Process Guidance
Song Yu, Li Li, Wenwen Zhao +1
Reinforcement learning with verifiable rewards (RLVR), particularly Group Relative Policy Optimization (GRPO), has advanced LLM reasoning. However, GRPO suffers from three credit a…
ERPO: Token-Level Entropy-Regulated Policy Optimization for Large Reasoning Models
Song Yu, Li Li, Wenwen Zhao +1
Reinforcement learning from verifiable rewards has significantly advanced the reasoning capabilities of large language models. However, Group Relative Policy Optimization (GRPO) ty…
Tree of Agents: Improving Long-Context Capabilities of Large Language Models through Multi-Perspective Reasoning
Song Yu, Xiaofei Xu, Ke Deng +2
Large language models (LLMs) face persistent challenges when handling long-context tasks, most notably the lost in the middle issue, where information located in the middle of a lo…
Enhance Large Language Models as Recommendation Systems with Collaborative Filtering
Zhisheng Yang, Xiaofei Xu, Ke Deng +1
As powerful tools in Natural Language Processing (NLP), Large Language Models (LLMs) have been leveraged for crafting recommendations to achieve precise alignment with user prefere…
Enhancing the Traditional Chinese Medicine Capabilities of Large Language Model through Reinforcement Learning from AI Feedback
Song Yu, Xiaofei Xu, Fangfei Xu +1
Although large language models perform well in understanding and responding to user intent, their performance in specialized domains such as Traditional Chinese Medicine (TCM) rema…