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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 DatabasesarXiv cs.LG and cs.AI RSS
- Reasoner-Executor-Synthesizer: Scalable Agentic Architecture with Static O(1) Context WindowarXiv cs.LG and cs.AI RSS
- MARS: toward more efficient multi-agent collaboration for LLM reasoningarXiv cs.CL RSS