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cs.AI2026

ClinEnv: An Interactive Multi-Stage Long Horizon EHR Environment for Agents

Yuxing Lu, Yushuhong Lin, Wenqi Shi +4

Clinical practice is not the selection of an answer from enumerated options: a physician gathers heterogeneous information incrementally and commits to sequential, irreversible dec…

cs.AI2026

One Panel Does Not Fit All: Case-Adaptive Multi-Agent Deliberation for Clinical Prediction

Yuxing Lu, Yushuhong Lin, Jason Zhang

Large language models applied to clinical prediction exhibit case-level heterogeneity: simple cases yield consistent outputs, while complex cases produce divergent predictions unde…

cs.AI2026

Training the Knowledge Base through Evidence Distillation and Write-Back Enrichment

Yuxing Lu, Xukai Zhao, Wei Wu +1

The knowledge base in a retrieval-augmented generation (RAG) system is typically assembled once and never revised, even though the facts a query requires are often fragmented acros…

cs.AI2026

DyTopo: Dynamic Topology Routing for Multi-Agent Reasoning via Semantic Matching

Yuxing Lu, Yucheng Hu, Xukai Zhao +1

Multi-agent systems built from prompted large language models can improve multi-round reasoning, yet most existing pipelines rely on fixed, trajectory-wide communication patterns t…

cs.AI2025

Language-Guided Tuning: Enhancing Numeric Optimization with Textual Feedback

Yuxing Lu, Yucheng Hu, Nan Sun +1

Configuration optimization remains a critical bottleneck in machine learning, requiring coordinated tuning across model architecture, training strategy, feature engineering, and hy…