ReasonCast, the recipe for finetuning any LLM to perform both tasks jointly, yields a model that generates a reasoning chain and a forecast together in a single autoregressive pass, and Extensive experiments show that ReasonCast outperforms both LLMs and TS models on prediction accuracy while producing verifiable, caus...
Seung-Han Lee, Jun Seo, Jaehoon Lee et al.· 0 citations
TraceMAS shows how autonomous forecasting agents can retain flexibility while making the evidence-to-forecast process inspectable, and demonstrates TraceMAS on crude oil price forecasting.
Junhyeok Kang, Sang-Jun Han, Hyeokjun Choe et al.· 0 citations
FinVerse is introduced, a finance-domain time-series forecasting benchmark that takes a first step toward more realistic evaluation and highlights the need for domain-aware benchmarks that evaluate models under objectives closer to real-world decision making.
Jaehoon Lee, Jun Seo, Seung-Han Lee et al.· 1 citation
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