most citedMed-RLVR: Emerging Medical Reasoning from a 3B base model via reinforcement Learning

2 citations · 5 across the 7 of their papers we have counts for

collaborators
Showing cs.CLShow all

3 papers · 1 filter

cs.CL2025

Be My Eyes: Extending Large Language Models to New Modalities Through Multi-Agent Collaboration

James Y. Huang, Sheng Zhang, Qianchu Liu +5

Large Language Models (LLMs) have demonstrated remarkable capabilities in challenging, knowledge-intensive reasoning tasks. However, extending LLMs to perceive and reason over a ne…

cs.CL2025★ 2 cited

Med-RLVR: Emerging Medical Reasoning from a 3B base model via reinforcement Learning

Sheng Zhang, Qianchu Liu, Guanghui Qin +2

Reinforcement learning from verifiable rewards (RLVR) has recently gained attention for its ability to elicit self-evolved reasoning capabilitie from base language models without e…

cs.CL2025★ 1 cited

Universal Abstraction: Harnessing Frontier Models to Structure Real-World Data at Scale

Cliff Wong, Sam Preston, Qianchu Liu +22

A significant fraction of real-world patient information resides in unstructured clinical text. Medical abstraction extracts and normalizes key structured attributes from free-text…