3 papers
q-fin.TR2025
LLM Agents Do Not Replicate Human Market Traders: Evidence From Experimental Finance
Thomas Henning, Siddhartha M. Ojha, Ross Spoon +2
This paper explores how Large Language Models (LLMs) behave in a classic experimental finance paradigm widely known for eliciting bubbles and crashes in human participants. We adap…
cs.LG2025
CAT: Curvature-Adaptive Transformers for Geometry-Aware Learning
Ryan Y. Lin, Siddhartha Ojha, Nicholas Bai
Transformers achieve strong performance across diverse domains but implicitly assume Euclidean geometry in their attention mechanisms, limiting their effectiveness on data with non…
cs.GT2025
Strategic Collusion of LLM Agents: Market Division in Multi-Commodity Competitions
Ryan Y. Lin, Siddhartha Ojha, Kevin Cai +1
Machine-learning technologies are seeing increased deployment in real-world market scenarios. In this work, we explore the strategic behaviors of large language models (LLMs) when…