Yuxuan Ding
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 Yuxuan Ding's perspective
Ordered by how strongly the researchers Yuxuan Ding trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Language Models are Unsupervised Multitask Learners
- RoBERTa: A Robustly Optimized BERT Pretraining Approach (arXiv.org)
- Language Models are Few-Shot Learners (Neural Information Processing Systems)
- Training language models to follow instructions with human feedback (Neural Information Processing Systems)
- Release Strategies and the Social Impacts of Language Models
- Evaluating Large Language Models Trained on Code (arXiv.org)
- GLTR: Statistical Detection and Visualization of Generated Text
- Scikit-learn: Machine Learning in Python
- A General Language Assistant as a Laboratory for Alignment
Their papers
- How Close is ChatGPT to Human Experts? Comparison Corpus, Evaluation, and Detection (2023) — 882 citations