Book Reviews. - Neil Thompson (Softw. Test. Verification Reliab., 2003)

The Keystone to Support a Generic Test Process: Separating the "What" from the "How". - Mike Smith; Neil Thompson (ICST Workshops, 2008)

The effect of in-person conferences on the diffusion of ideas. - Misha Teplitskiy; Soya Park; Neil Thompson; David R. Karger (CoRR, 2022)

The Grand Illusion: The Myth of Software Portability and Implications for ML Progress. - Fraser Mince; Dzung Dinh; Jonas Kgomo; Neil Thompson; Sara Hooker (NeurIPS, 2023)

Large Language Model Routing with Benchmark Datasets. - Tal Shnitzer; Anthony Ou; Mírian Silva; Kate Soule; Yuekai Sun; Justin Solomon 001; Neil Thompson; Mikhail Yurochkin (CoRR, 2023)

A Model for Estimating the Economic Costs of Computer Vision Systems That Use Deep Learning. - Neil Thompson; Martin Fleming; Benny J. Tang; Anna M. Pastwa; Nicholas Borge; Brian C. Goehring; Subhro Das (AAAI, 2024)

Algorithmic progress in language models. - Anson Ho; Tamay Besiroglu; Ege Erdil; Zifan Carl Guo; David Owen 001; Robi Rahman; David Atkinson; Neil Thompson; Jaime Sevilla (NeurIPS, 2024)

The Compute Divide in Machine Learning: A Threat to Academic Contribution and Scrutiny? - Tamay Besiroglu; Sage Andrus Bergerson; Amelia Michael; Lennart Heim; Xueyun Luo; Neil Thompson (CoRR, 2024)

Neural Scaling Laws for Embodied AI. - Sebastian Sartor; Neil Thompson (CoRR, 2024)

The AI Risk Repository: A Comprehensive Meta-Review, Database, and Taxonomy of Risks From Artificial Intelligence. - Peter Slattery; Alexander K. Saeri; Emily A. C. Grundy; Jess Graham; Michael Noetel; Risto Uuk; James Dao; Soroush Pour; Stephen Casper; Neil Thompson (CoRR, 2024)

Meek Models Shall Inherit the Earth. - Hans Gundlach; Jayson Lynch; Neil Thompson (CoRR, 2025)