Training LLM forecasters across dates improves search and probability estimates

AlphaBet trains one agent to gather time-appropriate evidence and update probabilistic forecasts before events resolve.

Big Tech
Liqin Ye · Rongzhi Zhang · Xin Liu · Zheng Li · Yuan He · Qingyu Yin · +2 more

Amazon Data & Models · Georgia Institute of Technology

Research Digest··2 min read
Ye and colleagues introduce AlphaBet, a reinforcement-learning framework that repeatedly forecasts the same unresolved event at different dates, using only evidence available at each point.

The authors trained a single tool-using LLM policy to search for evidence, reason over it, and assign probabilities to possible outcomes.

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