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标星The rapid growth of scientific literature has made it increasingly difficult for researchers to efficiently discover, evaluate, and synthesize relevant work. Recent advances in multi-agent large language models (LLMs) h…
备注:Anchor paper for the multi-agent discovery workflow; compare its planner design with newer agent benchmarks.
下一步:compare planner design with newer agent benchmarks
最晚处理:2026-04-18
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待跟进Large Language Models (LLMs) are increasingly deployed in medicine. However, their utility for non-generative clinical prediction is under-evaluated, and they are often assumed to be inferior to specialized models, crea…
备注:Recheck whether ClinicRealm still beats classical clinical baselines under the same task framing.
下一步:recheck benchmark framing against classical baselines
最晚处理:2026-04-20
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