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Thorsten Neumann

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#artificial intelligence Preprint Sep 2026

Making Alternative Data Work: Context-Augmented LLMs for Financial Forecasting

When forecasting a firm's future financial performance, alternative data - data collected from non-traditional sources such as consumer transactions, web traffic, and prediction markets - can provide timely signals about firms'operating activities and broader market conditions. These signals may reveal information that...

Jihoon Kwon, Lawrence Liu, Daekyung Park et al. · 0 citations
Preprint Aug 2026

The Blending Ratio Is Not Where the Performance Is: Diagnosing Prototype Blending for Few-Shot Adaptation of Vision-Language Models

This work proves the mechanism and bound its share of the damage at 26% by a counterfactual, and finds the ceiling in the model class, not the hyperparameter: the ratio can be set near-optimally for free, and it is still not where the performance is.

Liangzhi Li, Bowen Wang, Yiming Qian et al. · 0 citations

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