Papers by Chengze Ge

2 papers
GuideTree: Guideline-Induced Review Trees for Long Medical Records (2026.acl-industry)

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Challenge: Medical record reviewers must produce consistent, traceable, guideline-compliant outcomes . longcontext inference is expensive and often degrades as inputs grow .
Approach: a new method compiles textual guidelines into a fixed review tree . a cost-aware split-and-prune search is used to update the tree offline . the algorithm produces consistent, traceable, guideline-compliant outcomes .
Outcome: The proposed system outperforms the strongest non-expert baselines by 84.5–92.8 Macro-F1 . it reduces average I/O volume to 74K input+output characters and average latency to 22s .
High-Quality Medical Dialogue Synthesis for Improving EMR Generation (2025.emnlp-industry)

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Challenge: Existing methods for generating EMRs from doctor-patient dialogues produce rigid and repetitive dialogues.
Approach: They propose a framework that integrates Intent Graph Planning, Dual-Agent Simulation and Rule-Reward Quality Control to generate realistic doctor-patient dialogues.
Outcome: The proposed framework significantly enhances realism, diversity and downstream EMR quality, reducing physician editing efforts.

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