Brian Bartoldson — accepted AI-conference papers

2026

LongCoT: Benchmarking Long-Horizon Chain-of-Thought Reasoning

Sumeet Motwani, Daniel Nichols, Charles London, Peggy Li, Fabio Pizzati, Acer Blake +13

ICML 2026poster

As language models are increasingly deployed for complex autonomous tasks, their ability to reason accurately over longer horizons becomes critical. An essential component of this ability is planning and managing a long, complex chain-of-thought (CoT). We introduce LongCoT, a scalable benchmark of 2…

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2020

The Generalization-Stability Tradeoff In Neural Network Pruning

Brian Bartoldson, Ari Morcos, Adrian Barbu, Gordon Erlebacher

NeurIPS 2020poster

Pruning neural network parameters is often viewed as a means to compress models, but pruning has also been motivated by the desire to prevent overfitting. This motivation is particularly relevant given the perhaps surprising observation that a wide variety of pruning approaches increase test accurac…

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