Dong Yu

Annual Meeting of the Association for Computational Linguistics · with Dai · 2024

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

Whom Dong Yu trusts

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

  1. J. Fleiss (in Statistics and Probability)

Papers from Dong Yu's perspective

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

  1. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  2. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
  3. Training language models to follow instructions with human feedback (Neural Information Processing Systems)
  4. PaLM: Scaling Language Modeling with Pathways (Journal of machine learning research)
  5. Evaluating Large Language Models Trained on Code (arXiv.org)
  6. An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (International Conference on Learning Representations)
  7. World of Bits: An Open-Domain Platform for Web-Based Agents
  8. ReAct: Synergizing Reasoning and Acting in Language Models (International Conference on Learning Representations)
  9. Self-Instruct: Aligning Language Models with Self-Generated Instructions (Annual Meeting of the Association for Computational Linguistics)
  10. Mind2Web: Towards a Generalist Agent for the Web (Neural Information Processing Systems)

Their papers