Charles London

According to our database, Charles London authored at least 12 papers between 2024 and 2026.

Collaborative distances:

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

2026

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

Sumeet Ramesh Motwani, Daniel Nichols, Charles London, Peggy Li, Fabio Pizzati, Acer Blake, Hasan Hammoud, Tavish McDonald, Akshat Naik, Alesia Ivanova, Vignesh Baskaran, Ivan Laptev, Ruben Glatt, Tal Ben-Nun, Philip Torr, Natasha Jaques, Ameya Prabhu, Brian R. Bartoldson, Bhavya Kailkhura, Christian Schroeder de Witt

CoRR, April, 2026

HorizonMath: Measuring AI Progress Toward Mathematical Discovery with Automatic Verification.

Erik Y. Wang, Sumeet Ramesh Motwani, James V. Roggeveen, Eliot Hodges, Dulhan Jayalath, Charles London, Kalyan Ramakrishnan, Flaviu Cipcigan, Philip Torr, Alessandro Abate

CoRR, March, 2026

2025

h1: Bootstrapping LLMs to Reason over Longer Horizons via Reinforcement Learning.

Sumeet Ramesh Motwani, Alesia Ivanova, Ziyang Cai, Philip Torr, Riashat Islam, Shital Shah, Christian Schröder de Witt, Charles London

CoRR, October, 2025

Feature learning is decoupled from generalization in high capacity neural networks.

Niclas Alexander Göring, Charles London, Abdurrahman Hadi Erturk, Chris Mingard, Yoonsoo Nam, Ard A. Louis

CoRR, July, 2025

Characterising the Inductive Biases of Neural Networks on Boolean Data.

Chris Mingard, Lukas Seier, Niclas Alexander Göring, Andrei-Vlad Badelita, Charles London, Ard A. Louis

CoRR, May, 2025

REAL: Benchmarking Autonomous Agents on Deterministic Simulations of Real Websites.

Divyansh Garg, Shaun VanWeelden, Diego Caples, Andis Draguns, Nikil Ravi, Pranav Putta, Naman Garg, Tomas Abraham, Michael Lara, Federico Lopez, James Liu, Atharva Gundawar, Prannay Hebbar, Youngchul Joo, Jindong Gu, Charles London, Christian A. Schröder de Witt, Sumeet Ramesh Motwani

CoRR, April, 2025

Position: Solve Layerwise Linear Models First to Understand Neural Dynamical Phenomena (Neural Collapse, Emergence, Lazy/Rich Regime, and Grokking).

Yoonsoo Nam, Seok Hyeong Lee, Clémentine C. J. Dominé, Yea Chan Park, Charles London, Wonyl Choi, Niclas Alexander Göring, Seungjai Lee

CoRR, February, 2025

Pause Tokens Strictly Increase the Expressivity of Constant-Depth Transformers.

Charles London, Varun Kanade

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

REAL: Benchmarking Autonomous Agents on Deterministic Simulations of Real Websites.

Divyansh Garg, Diego Caples, Andis Draguns, Nikil Ravi, Pranav Putta, Naman Garg, Prannay Hebbar, Youngchul Joo, Jindong Gu, Charles London, Christian Schroeder de Witt, Sumeet Ramesh Motwani

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Position: Solve Layerwise Linear Models First to Understand Neural Dynamical Phenomena (Neural Collapse, Emergence, Lazy/Rich Regime, and Grokking).

Yoonsoo Nam, Seok Hyeong Lee, Clémentine Carla Juliette Dominé, Yeachan Park, Charles London, Wonyl Choi, Niclas Alexander Göring, Seungjai Lee

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Peptide binding classification on quantum computers.

Charles London, Douglas Brown, Wenduan Xu, Sezen Vatansever, Christopher J. Langmead, Dimitri Kartsaklis, Stephen Clark, Konstantinos Meichanetzidis

Quantum Mach. Intell., June, 2024

Exploiting the equivalence between quantum neural networks and perceptrons.

Chris Mingard, Jessica Pointing, Charles London, Yoonsoo Nam, Ard A. Louis

CoRR, 2024