Aaditya K. Singh

According to our database, Aaditya K. Singh authored at least 7 papers between 2022 and 2024.

Collaborative distances:

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

2024

Tokenization counts: the impact of tokenization on arithmetic in frontier LLMs.

Aaditya K. Singh, DJ Strouse

CoRR, 2024

2023

Decoding Data Quality via Synthetic Corruptions: Embedding-guided Pruning of Code Data.

Yu Yang, Aaditya K. Singh, Mostafa Elhoushi, Anas Mahmoud, Kushal Tirumala, Fabian Gloeckle, Baptiste Rozière, Carole-Jean Wu, Ari S. Morcos, Newsha Ardalani

CoRR, 2023

Confronting Reward Model Overoptimization with Constrained RLHF.

Ted Moskovitz, Aaditya K. Singh, DJ Strouse, Tuomas Sandholm, Ruslan Salakhutdinov, Anca D. Dragan, Stephen McAleer

CoRR, 2023

The Transient Nature of Emergent In-Context Learning in Transformers.

Aaditya K. Singh, Stephanie C. Y. Chan, Ted Moskovitz, Erin Grant, Andrew M. Saxe, Felix Hill

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Know your audience: specializing grounded language models with listener subtraction.

Aaditya K. Singh, David Ding, Andrew M. Saxe, Felix Hill, Andrew K. Lampinen

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

2022

Know your audience: specializing grounded language models with the game of Dixit.

Aaditya K. Singh, David Ding, Andrew M. Saxe, Felix Hill, Andrew K. Lampinen

CoRR, 2022

Data Distributional Properties Drive Emergent In-Context Learning in Transformers.

Stephanie C. Y. Chan, Adam Santoro, Andrew K. Lampinen, Jane X. Wang, Aaditya K. Singh, Pierre H. Richemond, James L. McClelland, Felix Hill

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022