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Can LLM Agents Generate Real-World Evidence? Evaluating Observational Studies in Medical Databases

arXiv:2509.20502v2 Announce Type: replace Abstract: Large language models (LLMs) have achieved impressive results in natural language understanding, yet their reasoning capabilities remain limited when operating as single agents.

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  • Can LLM Agents Generate Real-World Evidence? Evaluating Observational Studies in Medical Databases
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  • Reasoner-Executor-Synthesizer: Scalable Agentic Architecture with Static O(1) Context Window
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  • MARS: toward more efficient multi-agent collaboration for LLM reasoning
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