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2025 ICML ICML 2025

ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

Authors

Bill Yuchen Lin, Ronan Le Bras, Kyle Richardson, Ashish Sabharwal, Radha Poovendran, Peter Clark, Yejin Choi

Topics

Artificial Intelligence > Core AI > Large Language Models Artificial Intelligence > Core AI > Reasoning

Keywords

logical reasoning best-of-n sampling constraint satisfaction problem large language model complexity backtracking
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