Dajiang Zhu

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 Dajiang Zhu 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 Dajiang Zhu's perspective

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

  1. Language Models are Unsupervised Multitask Learners
  2. Teaching Machines to Read and Comprehend
  3. Training language models to follow instructions with human feedback (Neural Information Processing Systems)
  4. Improving Language Understanding by Generative Pre-Training
  5. Deep Reinforcement Learning from Human Preferences (Neural Information Processing Systems)
  6. Is ChatGPT a General-Purpose Natural Language Processing Task Solver? (Conference on Empirical Methods in Natural Language Processing)
  7. To Ship or Not to Ship: An Extensive Evaluation of Automatic Metrics for Machine Translation
  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. Can ChatGPT Understand Too? A Comparative Study on ChatGPT and Fine-tuned BERT (arXiv.org)

Their papers