Singh, Aaditya K

7 publications

ICLRW 2025 Distinct Computations Emerge from Compositional Curricula in In-Context Learning Jin Hwa Lee, Andrew Kyle Lampinen, Aaditya K Singh, Andrew M Saxe

ICML 2025 Strategy Coopetition Explains the Emergence and Transience of In-Context Learning Aaditya K Singh, Ted Moskovitz, Sara Dragutinović, Felix Hill, Stephanie C.Y. Chan, Andrew M Saxe

ICML 2025 Training Dynamics of In-Context Learning in Linear Attention Yedi Zhang, Aaditya K Singh, Peter E. Latham, Andrew M Saxe

NeurIPS 2024 Brain Treebank: Large-Scale Intracranial Recordings from Naturalistic Language Stimuli Christopher Wang, Adam Yaari, Aaditya K Singh, Vighnesh Subramaniam, Dana Rosenfarb, Jan DeWitt, Pranav Misra, Joseph R Madsen, Scellig Stone, Gabriel Kreiman, Boris Katz, Ignacio Cases, Andrei Barbu

ICLR 2024 Confronting Reward Model Overoptimization with Constrained RLHF Ted Moskovitz, Aaditya K Singh, Dj Strouse, Tuomas Sandholm, Ruslan Salakhutdinov, Anca Dragan, Stephen Marcus McAleer

NeurIPSW 2024 Quantifying Variance in Evaluation Benchmarks Lovish Madaan, Aaditya K Singh, Rylan Schaeffer, Andrew Poulton, Sanmi Koyejo, Pontus Stenetorp, Sharan Narang, Dieuwke Hupkes

ICML 2024 What Needs to Go Right for an Induction Head? a Mechanistic Study of In-Context Learning Circuits and Their Formation Aaditya K Singh, Ted Moskovitz, Felix Hill, Stephanie C.Y. Chan, Andrew M Saxe