A superpersuasive autonomous policy debating system

Abstract

DeepDebater organizes policy debate into specialized agent workflows for evidence retrieval, argument construction, cross-examination, and rebuttal. It supports autonomous and human-AI rounds, with a presentation pipeline for speech and video. The paper reports preliminary evaluations of the system.

Publication
AAAI 2026 CLIP Workshop
Ravid Shwartz-Ziv
Ravid Shwartz-Ziv
AI Researcher

AI researcher at Meta MSL with a background in information theory and computational neuroscience, working on world models, memory, and compression. Former Assistant Professor and Faculty Fellow at NYU, collaborating on research across academia and industry.

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