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Aaditya K Singh
Aaditya K Singh
PhD Student, Gatsby Computational Neuroscience Unit, University College London
Verified email at ucl.ac.uk
Title
Cited by
Cited by
Year
Data distributional properties drive emergent in-context learning in transformers
S Chan, A Santoro, A Lampinen, J Wang, A Singh, P Richemond, ...
Advances in Neural Information Processing Systems 35, 18878-18891, 2022
1842022
The transient nature of emergent in-context learning in transformers
A Singh, S Chan, T Moskovitz, E Grant, A Saxe, F Hill
Advances in Neural Information Processing Systems 36, 2024
72024
Confronting reward model overoptimization with constrained rlhf
T Moskovitz, AK Singh, DJ Strouse, T Sandholm, R Salakhutdinov, ...
arXiv preprint arXiv:2310.04373, 2023
62023
Decoding data quality via synthetic corruptions: Embedding-guided pruning of code data
Y Yang, AK Singh, M Elhoushi, A Mahmoud, K Tirumala, F Gloeckle, ...
arXiv preprint arXiv:2312.02418, 2023
42023
Know your audience: specializing grounded language models with listener subtraction
AK Singh, D Ding, A Saxe, F Hill, AK Lampinen
arXiv preprint arXiv:2206.08349, 2022
4*2022
Tokenization counts: the impact of tokenization on arithmetic in frontier LLMs
AK Singh, DJ Strouse
arXiv preprint arXiv:2402.14903, 2024
32024
Social alarms and reminders
P Singh, A Deopura, V Gupta, P Singh, V Jeyachandran, A Singh, K Singh
US Patent 10,382,613, 2019
22019
Training a speaker neural network using one or more listener neural networks
AK Singh, F Ding, FG Hill, AK Lampinen
US Patent App. 18/199,896, 2023
2023
Deep Attentional Modulation for Zero-shot Learning in Object Recognition
A Singh
Massachusetts Institute of Technology, 2021
2021
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Articles 1–9