Jia Deng

Artificial Intelligence · with Azerbayev · 2023

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jia Deng trusts

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

  1. Stanislas Polu (in Artificial Intelligence)
  2. Ilya Sutskever (in Artificial Intelligence)
  3. The mathlib Community (in Artificial Intelligence)
  4. W. G. Bickley (in Program Analysis & Verification)
  5. Tri Dao (in Computer Vision and Pattern Recognition)

Papers from Jia Deng's perspective

Ordered by how strongly the researchers Jia Deng 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. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
  4. Training language models to follow instructions with human feedback (Neural Information Processing Systems)
  5. Scaling Laws for Neural Language Models (arXiv.org)
  6. Finetuned Language Models Are Zero-Shot Learners
  7. Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour
  8. The Pile: An 800GB Dataset of Diverse Text for Language Modeling
  9. Training Compute-Optimal Large Language Models (Advances in Neural Information Processing Systems 35)
  10. Measuring Mathematical Problem Solving With the MATH Dataset

Their papers