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Yan Jiang

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#artificial intelligence Review Jun 2026

Are LLMs Ready to Assist Physicians? PhysAssistBench for Interactive Doctor-Patient-EHR Assistance

PhysAssistBench is introduced, a benchmark for interactive doctor-patient-EHR assistance that uses a scalable pipeline to construct agentic patients: interactive, record-grounded agents that turn static EHR records into multi-turn clinical scenarios while preserving clinical factuality.

T. Du, Peijie Yu, Sihan Shang et al. · 0 citations
Preprint Jul 2026

MathCoPilot: An Interactive System for Human-AI Symbiotic Paradigm of Mathematical Research

This paper systematically compares four state-of-the-art LLMs, including Gemini~3.1~Pro, GPT-5.4, and Claude~Opus~4, on a FormalMATH subset and on two real PDE theorems requiring deep domain expertise, evaluating their ability to produce verified Lean~4 proofs and to identify errors in deliberately incorrect proofs.

Junjie Zhang, Jia-Yin Liu, Wenbin Liu et al. · 1 citation

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