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cs.LG2026
Towards Financial World Modeling
Humzah Merchant, Alec Guthrie, Simon Mahns +2
Building a world model requires a state representation useful for planning and decision-making---potentially over tasks unknown at training time. In the context of financial market…
cs.LG2026★ 1 cited
Evaluating LLMs in Finance Requires Explicit Bias Consideration
Yaxuan Kong, Hoyoung Lee, Yoontae Hwang +7
Large Language Models (LLMs) are increasingly integrated into financial workflows, but evaluation practice has not kept up. Finance-specific biases can inflate performance, contami…
cs.LG2025
A Fast and Effective Solution to the Problem of Look-ahead Bias in LLMs
Humzah Merchant, Bradford Levy
Applying LLMs to predictive tasks in finance is challenging due to look-ahead bias resulting from their training on long time-series data. This precludes the backtests typically em…