Tom A. Lamb

According to our database, Tom A. Lamb authored at least 6 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2025

Towards Label-Free Biological Reasoning Synthetic Dataset Creation via Uncertainty Filtering.

Josefa Lia Stoisser, Lawrence Phillips, Aditya Misra, Tom A. Lamb, Philip Torr, Marc Boubnovski Martell, Julien Fauqueur, Kaspar Märtens

CoRR, October, 2025

Can Large Language Models Express Uncertainty Like Human?

Linwei Tao, Yi-Fan Yeh, Bo Kai, Minjing Dong, Tao Huang, Tom A. Lamb, Jialin Yu, Philip H. S. Torr, Chang Xu

CoRR, September, 2025

2024

Focus On This, Not That! Steering LLMs With Adaptive Feature Specification.

Tom A. Lamb, Adam Davies, Alasdair Paren, Philip H. S. Torr, Francesco Pinto

CoRR, 2024

Universal In-Context Approximation By Prompting Fully Recurrent Models.

Aleksandar Petrov, Tom A. Lamb, Alasdair Paren, Philip Torr, Adel Bibi

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Hidden in Plain Sight: Evaluating Abstract Shape Recognition in Vision-Language Models.

Arshia Hemmat, Adam Davies, Tom A. Lamb, Jianhao Yuan, Philip Torr, Ashkan Khakzar, Francesco Pinto

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Faithful Knowledge Distillation.

Tom A. Lamb, Rudy Bunel, Krishnamurthy (Dj) Dvijotham, M. Pawan Kumar, Philip H. S. Torr, Francisco Eiras

CoRR, 2023