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Thomas Butler

2 accepted papers

2026

Forget to Know, Remember to Use: Context-Aware Unlearning for Large Language Models

ICML 2026poster

Large language models can memorize information that must be removed--ranging from copyright-sensitive content (e.g., book chapters) to personally identifiable information (e.g., income)--to ensure responsible and compliant behavior. Unlearning has emerged as an efficient alternative to full retraini…

Cited by 0Source ↗Scholar ↗
2023

Efficiently predicting high resolution mass spectra with graph neural networks

ICML 2023poster

Identifying a small molecule from its mass spectrum is the primary open problem in computational metabolomics. This is typically cast as information retrieval: an unknown spectrum is matched against spectra predicted computationally from a large database of chemical structures. However, current appr…

Cited by 32Source ↗PDF ↗Scholar ↗