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arXiv — cs.AI

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Forecast-Dojo: Replayable Environments for Benchmarking and Training LLM Forecasting Agents

arXiv:2609.28876v1 Announce Type: new Abstract: We introduce Forecast-Dojo, a replayable environment for benchmarking and training LLM forecasting agents. It combines resolved prediction-market questions with dated news, allowing agents to research an event and revisit their…

arXiv — cs.AIBy: Liqin Ye, Haorui Wang, Fardin Ahmed, Rongzhi Zhang, Yuan He, Ziyuan Lin, Yanbin Yin, Jing Peng, Michael Galarnyk, Sudheer Chava, Chao ZhangSeptember 25, 2026 (Sep 25)
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  • arXiv:2609.28876v1 Announce Type: new Abstract: We introduce Forecast-Dojo, a replayable environment for benchmarking and training LLM forecasting agents
  • It combines resolved prediction-market questions with dated news, allowing agents to research an event and revisit their…
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Forecast-Dojo: Replayable Environments for Benchmarking and Training LLM Forecasting Agents

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