Thomas F. Burns

According to our database, Thomas F. Burns authored at least 10 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

A Family of LLMs Liberated from Static Vocabularies.

Adnen Abdessaied, Artur Baranowski, Lukas Balles, Michael Barlow, Fabien C. Y. Benureau, Felix Berkenkamp, Lukas Bluebaum, Bastian Boll, Thomas F. Burns, Björn Deiseroth, Constantin Eichenberg, David Friede, Pablo Iyu Guerrero, Ahmed Hammam, Bastian Harren, Johann Higl, Yasser Jadidi, Carina Kauf, Johannes Messner, Jan Hendrik Metzen, Max Meuer, Vedant Nanda, Pit Neitemeier, Koen Oostermeijer, Letitia Parcalabescu, Markus Pernpointner, Felix Reinfurt, Dylan Rodriquez, Grégory Schott, Philipp Siedler, Martin Simonovsky, Till Speicher, Volker Stampa, Stephan Wäldchen, Samuel Weinbach, Gregor Ziegltrum

CoRR, March, 2026

Aleph-Alpha-GermanWeb: Improving German-language LLM pre-training with model-based data curation and synthetic data generation.

Thomas F. Burns, Letitia Parcalabescu, Stephan Wäldchen, Michael Barlow, Gregor Ziegltrum, Volker Stampa, Bastian Harren, Björn Deiseroth

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

2025

Measuring Language Model Hallucinations Through Distributional Correctness.

Thomas F. Burns

CoRR, October, 2025

Evaluating Interpretable Methods via Geometric Alignment of Functional Distortions.

Anna Hedström, Philine Lou Bommer, Thomas F. Burns, Sebastian Lapuschkin, Wojciech Samek, Marina M.-C. Höhne

Trans. Mach. Learn. Res., 2025

Associative memory inspires improvements for in-context learning using a novel attention residual stream architecture.

Thomas F. Burns, Tomoki Fukai, Christopher J. Earls

Trans. Mach. Learn. Res., 2025

2024

Generative AI Policy and Governance Considerations for Health Security in Southeast Asia.

Thomas F. Burns

CoRR, 2024

Semantically-correlated memories in a dense associative model.

Thomas F. Burns

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Detecting danger in gridworlds using Gromov's Link Condition.

Thomas F. Burns, Robert Tang

Trans. Mach. Learn. Res., 2023

Simplicial Hopfield networks.

Thomas F. Burns, Tomoki Fukai

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Efficient, probabilistic analysis of combinatorial neural codes.

Thomas F. Burns, Irwansyah

CoRR, 2022