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cs.LG2026
On the Limits of Prompt-Conditioned Language Models as General-Purpose Learners
David Mguni, Julian Ma, Jun Wang
Large Language Models (LLMs) are frequently portrayed as general-purpose solvers capable of solving arbitrary tasks. We argue that this view overlooks a fundamental constraint: lan…
cs.AI2026
On the Geometry of Games and their Solvers
Yaqi Sun, Julian Ma, David Mguni
A central challenge in game theory and learning systems such as GANs is understanding which algorithms can efficiently compute equilibria across the heterogeneous landscape of game…
q-fin.TR2026
Market Inefficiency in Cryptoasset Markets
Joel Hasbrouck, Julian Ma, Fahad Saleh +1
We demonstrate market inefficiency in cryptoasset markets. Our approach examines investments that share a dominant risk factor but differ in their exposure to a secondary risk. We…