Haofen Wang

Artificial Intelligence · with Gao · 2023

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Haofen Wang trusts

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

  1. Quoc V. Le (in Artificial Intelligence)
  2. Diederik P. Kingma (in Artificial Intelligence)
  3. Yoshua Bengio (in Artificial Intelligence)
  4. Danqi Chen (in Artificial Intelligence)
  5. Christopher D. Manning (in Artificial Intelligence)
  6. Ilya Sutskever (in Artificial Intelligence)
  7. Geoffrey E. Hinton (in Artificial Intelligence)
  8. Jimmy Ba (in Artificial Intelligence)

Papers from Haofen Wang's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  3. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  4. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
  5. Training language models to follow instructions with human feedback (Neural Information Processing Systems)
  6. Finetuned Language Models Are Zero-Shot Learners
  7. Chain of Thought Prompting Elicits Reasoning in Large Language Models (Neural Information Processing Systems)
  8. PaLM: Scaling Language Modeling with Pathways (Journal of machine learning research)
  9. Dense Passage Retrieval for Open-Domain Question Answering (Conference on Empirical Methods in Natural Language Processing)
  10. Scaling Laws for Neural Language Models (arXiv.org)

Their papers