Mingshi Xu

Natural Language Processing · 2023

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

Subfields

Whom Mingshi Xu trusts overall

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

  1. Chin-Yew Lin

Papers from Mingshi Xu's perspective

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

  1. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  2. Language Models are Unsupervised Multitask Learners
  3. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
  4. Bleu: a Method for Automatic Evaluation of Machine Translation
  5. Finetuned Language Models Are Zero-Shot Learners
  6. Chain of Thought Prompting Elicits Reasoning in Large Language Models (Neural Information Processing Systems)
  7. ROUGE: A Package for Automatic Evaluation of Summaries
  8. Deep Reinforcement Learning from Human Preferences (Neural Information Processing Systems)
  9. Self-Consistency Improves Chain of Thought Reasoning in Language Models
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers