Xiaoya Li
Artificial Intelligence · 2019–2023
A researcher in the Science corpus: 5 papers; trusts 113 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 219 citations into it; #30,114 of 35,345 by trust here, #9,465 by citations
- Natural Language Processing — 110 citations into it
- Computer Vision and Pattern Recognition — 86 citations into it
- Evaluation & Benchmarks — 36 citations into it
- Model Architectures — 16 citations into it
- Information Retrieval & Search — 12 citations into it
- Reinforcement Learning — 6 citations into it
Whom Xiaoya Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Geoffrey E. Hinton
- Diederik P. Kingma
- Richard Socher
- Kaiming He
- Alex Krizhevsky
- Ilya Sutskever
- Ross B. Girshick
- Ronald J. Williams
- Yann LeCun
Who trusts Xiaoya Li overall
- Giovanni Paolini
- Jing Li
- Monica Agrawal
- Chenguang Wang
- Jinlan Fu
- Zexuan Zhong
- Markus Eberts
- Xiaofei Sun
- Ben Athiwaratkun
- Duo Chai
Papers from Xiaoya Li's perspective
Ordered by how strongly the researchers Xiaoya Li trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- A Unified MRC Framework for Named Entity Recognition (2019) — 701 citations
- Entity-Relation Extraction as Multi-Turn Question Answering (2019) — 388 citations
- Dice Loss for Data-imbalanced NLP Tasks (2019) — 765 citations
- GPT-NER: Named Entity Recognition via Large Language Models (2023) — 420 citations
- Instruction Tuning for Large Language Models: A Survey (2023) — 905 citations