activity
20182026
most citedFine-tuning BERT for Joint Entity and Relation Extraction in Chinese Medical Text

14 citations · 77 across the 31 of their papers we have counts for

collaborators

31 papers

cs.AI2026

MedCalc-Pro: Solving Complex Medical Calculations with LLM Agents

Siran Zhao, Ruihui Hou, Ziyue Huai +2

Current benchmarks for evaluating large language models (LLMs) in medical calculation are largely based on simplified settings, where each patient case corresponds to a single calc…

cs.AI2026

ClinicalMC: A Benchmark for Multi-Course Clinical Decision-Making with Large Language Models

Ruihui Hou, Siyi Zhu, Ziyue Huai +4

Large language models (LLMs) have been widely adopted in healthcare, yet they still encounter significant challenges in complex clinical decision-making scenarios. Existing benchma…

cs.AI2026

CAREAgent: Clinical Agent with Structured Reasoning and Tool-Integrated for Order Generation

Ruihui Hou, Ziyue Huai, Chennuo Zhang +5

Clinical order generation serves as a critical bridge between clinical decision-making and real-world practice, translating medical decisions into concrete and executable orders. E…

cs.AI2026

PsychēChat: An Empathic Framework Focused on Emotion Shift Tracking and Safety Risk Analysis in Psychological Counseling

Zhentao Xia, Yongqi Fan, Yuxiang Chu +4

Large language models (LLMs) have demonstrated notable advancements in psychological counseling. However, existing models generally do not explicitly model seekers' emotion shifts…

cs.IR2026

Rank4Gen: RAG-Preference-Aligned Document Set Selection and Ranking

Yongqi Fan, Yuxiang Chu, Zhentao Xia +9

In the RAG paradigm, document ranking determines the evidence available to downstream generators. Through controlled analysis, we identify two phenomena underexplored by existing r…

cs.CL2025

KG-o1: Enhancing Multi-hop Question Answering in Large Language Models via Knowledge Graph Integration

Nan Wang, Yongqi Fan, yansha zhu +6

Large Language Models (LLMs) face challenges in knowledge-intensive reasoning tasks like classic multi-hop question and answering, which involves reasoning across multiple facts. T…