Haoyang He

Health Informatics · 2023

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

Subfields

Whom Haoyang He trusts

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

  1. Teo Sušnjak (in Health Informatics)
  2. J. H. Zar (in Food Science)

Papers from Haoyang He's perspective

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

  1. Language Models are Unsupervised Multitask Learners
  2. Improving Language Understanding by Generative Pre-Training
  3. Training language models to follow instructions with human feedback (Neural Information Processing Systems)
  4. Teaching Machines to Read and Comprehend
  5. Deep Reinforcement Learning from Human Preferences (Neural Information Processing Systems)
  6. To Ship or Not to Ship: An Extensive Evaluation of Automatic Metrics for Machine Translation
  7. Is ChatGPT a General-Purpose Natural Language Processing Task Solver? (Conference on Empirical Methods in Natural Language Processing)
  8. Results of WMT22 Metrics Shared Task: Stop Using BLEU – Neural Metrics Are Better and More Robust
  9. How would Stance Detection Techniques Evolve after the Launch of ChatGPT?
  10. A NEW MEASURE OF RANK CORRELATION

Their papers