London, Charles

3 publications

NeurIPS 2025 Pause Tokens Strictly Increase the Expressivity of Constant-Depth Transformers Charles London, Varun Kanade

ICML 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

NeurIPS 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