Xiang Pan
Artificial Intelligence · 2021
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
- Artificial Intelligence — 24 citations into it
Whom Xiang Pan trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Samuel R. Bowman (in Artificial Intelligence)
Papers from Xiang Pan's perspective
Ordered by how strongly the researchers Xiang Pan trusts endorse each paper. Same corpus, a different order for every researcher.
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Language Models are Few-Shot Learners (Neural Information Processing Systems)
- Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
- RoBERTa: A Robustly Optimized BERT Pretraining Approach (arXiv.org)
- GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
- A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference
- The Winograd Schema Challenge
- SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems
- Making Pre-trained Language Models Better Few-shot Learners
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- FewCLUE: A Chinese Few-shot Learning Evaluation Benchmark (2021) — 59 citations