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MIRAI: Evaluating LLM Agents for Event Forecasting Introduction MIRAI Experiments Analysis Forecasting Example More Research AvalonBench 🔥 SciBench 🔥 CliBench 🔥 STIC MIRAI: Evaluating LLM Agents for Event Forecasting Chenchen Ye * 1 , Ziniu Hu * 2 , Yihe Deng * 1 , Zijie Huang 1 , Mingyu Derek Ma 1 , Yanqiao Zhu 1 , Wei Wang 1 1 University of California, Los Angeles, 2 California Institute of Technology, * Equal Contribution Paper Code Data Demo A Quick Glance into MIRAI (Overview of LLM agent forecasting with the MIRAI benchmark) Introduction MIRAI is a benchmark crafted for evaluating LLM agents for temporal forecasting of international events, with tool-use and complex reasoning. We finalized a collection of 991,759 GDELT event records, corresponding to 59,161 unique events and 296,630 unique news articles. Our test set contains 705 query and answer pairs on forecasting ...
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