3 papers
cs.CL2026
Unraveling Syntax: Language Modeling and the Substructure of Grammars
Laura Ying Schulz, Daniel Mitropolsky, Tomaso Poggio
While language models achieve impressive results, their learning dynamics are far from understood. Many domains of interest -- such as natural language syntax, coding languages, ar…
cs.AI2026
The Generalized Turing Test: A Foundation for Comparing Intelligence
Daniel Mitropolsky, Susan S. Hong, Riccardo Neumarker +2
We introduce the Generalized Turing Test (GTT), a formal framework for comparing the capabilities of arbitrary agents via indistinguishability. For agents A and B, we define the Tu…
cs.NE2025
Simulated Language Acquisition in a Biologically Realistic Model of the Brain
Daniel Mitropolsky, Christos Papadimitriou
Despite tremendous progress in neuroscience, we do not have a compelling narrative for the precise way whereby the spiking of neurons in our brain results in high-level cognitive p…