Jinran Nie

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 Jinran Nie's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Language Models are Unsupervised Multitask Learners
  3. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  4. RoBERTa: A Robustly Optimized BERT Pretraining Approach (arXiv.org)
  5. Training language models to follow instructions with human feedback (Neural Information Processing Systems)
  6. Release Strategies and the Social Impacts of Language Models
  7. Evaluating Large Language Models Trained on Code (arXiv.org)
  8. Scikit-learn: Machine Learning in Python
  9. GLTR: Statistical Detection and Visualization of Generated Text
  10. A General Language Assistant as a Laboratory for Alignment

Their papers