Ayush Kumar Singh

arXiv.org · 2024

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Ayush Kumar Singh trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Jieyi Long
  2. Xuezhi Wang
  3. Jason Wei
  4. Alec Radford

Papers from Ayush Kumar Singh's perspective

Ordered by how strongly the researchers Ayush Kumar Singh trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Language Models are Unsupervised Multitask Learners
  2. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  3. Attention is All you Need (Neural Information Processing Systems)
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. ImageNet classification with deep convolutional neural networks
  6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  7. Long Short-Term Memory
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Chain of Thought Prompting Elicits Reasoning in Large Language Models (Neural Information Processing Systems)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers