Aaditya K. Singh

According to our database1, Aaditya K. Singh authored at least 13 papers between 2022 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

2022
2023
2024
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Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
HARP: A challenging human-annotated math reasoning benchmark.
CoRR, 2024

The broader spectrum of in-context learning.
CoRR, 2024

Evaluation data contamination in LLMs: how do we measure it and (when) does it matter?
CoRR, 2024

Brevity is the soul of wit: Pruning long files for code generation.
CoRR, 2024

Quantifying Variance in Evaluation Benchmarks.
CoRR, 2024

Tokenization counts: the impact of tokenization on arithmetic in frontier LLMs.
CoRR, 2024

What needs to go right for an induction head? A mechanistic study of in-context learning circuits and their formation.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Confronting Reward Model Overoptimization with Constrained RLHF.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Decoding Data Quality via Synthetic Corruptions: Embedding-guided Pruning of Code Data.
CoRR, 2023

The Transient Nature of Emergent In-Context Learning in Transformers.
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.
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.
CoRR, 2022

Data Distributional Properties Drive Emergent In-Context Learning in Transformers.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022


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