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In ACL/IJCNLP (1), pages 4636–4650

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, Broader Impacts , author= · 2023 · arXiv 2507.19477

2 Pith papers cite this work. Polarity classification is still indexing.

2 Pith papers citing it
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fields

cs.IR 1 cs.SI 1

years

2026 2

verdicts

UNVERDICTED 2

representative citing papers

Building Social World Models with Large Language Models

cs.SI · 2026-06-09 · unverdicted · novelty 6.0

SWM framework uses LLMs to model social belief dynamics from events via temporal pattern mining and ELBO optimization, outperforming time-series models on a new 12k-point benchmark from Kalshi and Polymarket prediction markets.

Scattered Hypothesis Generation for Open-Ended Event Forecasting

cs.IR · 2026-04-17 · unverdicted · novelty 6.0

SCATTER uses RL with a hybrid reward combining validity, intra-group diversity, and inter-group diversity to produce inclusive hypothesis sets for event forecasting and outperforms baselines on OpenForecast and OpenEP.

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Showing 2 of 2 citing papers.

  • Building Social World Models with Large Language Models cs.SI · 2026-06-09 · unverdicted · none · ref 123

    SWM framework uses LLMs to model social belief dynamics from events via temporal pattern mining and ELBO optimization, outperforming time-series models on a new 12k-point benchmark from Kalshi and Polymarket prediction markets.

  • Scattered Hypothesis Generation for Open-Ended Event Forecasting cs.IR · 2026-04-17 · unverdicted · none · ref 2

    SCATTER uses RL with a hybrid reward combining validity, intra-group diversity, and inter-group diversity to produce inclusive hypothesis sets for event forecasting and outperforms baselines on OpenForecast and OpenEP.