MedLoCoMo: A Long-Context Multi-Session Medical Dialogue Benchmark for Large Language Models
New benchmark tests how well AI tracks patient history across long-term medical dialogues and multi-admission records.
MedLoCoMo is a Medical Long-Context Memory benchmark for patient-specific clinical reasoning over multi-admission medical dialogue. Existing medical QA benchmarks largely test short context knowledge or single document grounding, leaving open whether LLMs can use, connect, and ab...
ArXiv CS.AI
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MedLoCoMo addresses the critical gap in evaluating how LLMs manage complex, longitudinal patient histories instead of isolated clinical snapshots. By forcing models to synthesize multi-session medical data, this benchmark reveals fundamental limitations in current long-context reasoning capabilities.
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