Introduces EHR-ReasonCon benchmark with expert annotations and EHR-Inspector LLM framework for reasoning-intensive verification of consistency between clinical notes and structured tables in EHRs.
Table- mind: An autonomous programmatic agent for tool-augmented table reasoning.arXiv preprint arXiv:2509.06278, 2025
2 Pith papers cite this work. Polarity classification is still indexing.
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cs.CL 2years
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UNVERDICTED 2representative citing papers
TabClaw is an interactive LLM agent for spreadsheets that exposes editable plans, uses parallel specialist agents, streams ReAct loops, and distills skills from user feedback, reporting improved benchmark task completion.
citing papers explorer
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Towards Error-Free EHRs: Reasoning-Intensive Consistency Verification Between Clinical Notes and Structured Tables in Electronic Health Records
Introduces EHR-ReasonCon benchmark with expert annotations and EHR-Inspector LLM framework for reasoning-intensive verification of consistency between clinical notes and structured tables in EHRs.
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TabClaw: An Interactive and Self-Evolving Agent for Spreadsheet Manipulation and Table Reasoning
TabClaw is an interactive LLM agent for spreadsheets that exposes editable plans, uses parallel specialist agents, streams ReAct loops, and distills skills from user feedback, reporting improved benchmark task completion.