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20232026
most citedA scoping review of using Large Language Models (LLMs) to investigate Electronic Health Records (EHRs)

21 citations · 87 across the 22 of their papers we have counts for

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2 papers · 1 filter

cs.AI2023★ 1 cited

NPHardEval: Dynamic Benchmark on Reasoning Ability of Large Language Models via Complexity Classes

Lizhou Fan, Wenyue Hua, Lingyao Li +2

Complex reasoning ability is one of the most important features of current LLMs, which has also been leveraged to play an integral role in complex decision-making tasks. Therefore,…

cs.AI2023★ 13 cited

War and Peace (WarAgent): Large Language Model-based Multi-Agent Simulation of World Wars

Wenyue Hua, Lizhou Fan, Lingyao Li +5

Can we avoid wars at the crossroads of history? This question has been pursued by individuals, scholars, policymakers, and organizations throughout human history. In this research,…