1 citations · 2 across the 5 of their papers we have counts for
4 papers · 1 filter
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…
Forecasting With LLMs: Improved Generalization Through Feature Steering
Humzah Merchant, Bradford Levy
Successful forecasting involves identifying patterns between historical and future states of the world which generalize to future observations. We apply LLMs to a variety of foreca…
Divergence Decoding: Inference-Time Unlearning via Auxiliary Models
Humzah Merchant, Bradford Levy
Large Language Models (LLMs) frequently memorize sensitive training data thereby creating significant privacy and copyright risks. Addressing these risks, i.e., removing such knowl…
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…