Jin Liu

with Chen · 2023

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

Papers from Jin Liu's perspective

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

  1. Evaluating Large Language Models Trained on Code (arXiv.org)
  2. Code completion with statistical language models
  3. PaLM: Scaling Language Modeling with Pathways (Journal of machine learning research)
  4. On the localness of software
  5. CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation
  6. IntelliCode compose: code generation using transformer
  7. CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis
  8. REALM: Retrieval-Augmented Language Model Pre-Training (International Conference on Machine Learning)
  9. LaMDA: Language Models for Dialog Applications
  10. Are deep neural networks the best choice for modeling source code?

Their papers