Replayable news timelines test how LLM agents update forecasts

Forecast-Dojo reconstructs historical prediction tasks across successive dates, enabling repeatable evaluation and training with immediate outcome feedback.

Big Tech
Liqin Ye · Haorui Wang · Fardin Ahmed · Rongzhi Zhang · Yuan He · Ziyuan Lin · +5 more

Georgia Institute of Technology · Amazon · University of Florida

Research Digest··2 min read
8 million dated news articles, allowing forecasting agents to research each question and revise their probabilities as historical evidence arrives.

The authors built a replayable forecasting environment from resolved prediction-market questions and a temporally restricted news corpus.

Why this paper

From Amazon and 2 others

In one line

Replayable historical forecasting environments let LLM agents research dated news, lowering Brier scores across 12 models, though all still trail market forecasts.

What we could check

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  • ·No stated limitations found
  • ✓Reports numbers on named benchmarks

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