Junyi Li
Artificial Intelligence · 2020–2023
A researcher in the Science corpus: 6 papers; trusts 269 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 572 citations into it
- Natural Language Processing — 300 citations into it
- Computer Vision and Pattern Recognition — 237 citations into it
- Large Language Models — 198 citations into it
- Evaluation & Benchmarks — 97 citations into it
- Efficiency & Compression — 46 citations into it
Whom Junyi Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Ilya Sutskever
- Diederik P. Kingma
- Alex Krizhevsky
- Kaiming He
- Alec Radford
- Yann LeCun
- Alex Graves
- Oriol Vinyals
Who trusts Junyi Li overall
Papers from Junyi Li's perspective
Ordered by how strongly the researchers Junyi Li trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- WenLan: Bridging Vision and Language by Large-Scale Multi-Modal Pre-Training (2021) — 146 citations
- A Survey of Large Language Models (2023) — 4,706 citations
- HaluEval: A Large-Scale Hallucination Evaluation Benchmark for Large Language Models (2023) — 504 citations
- CLUE: A Chinese Language Understanding Evaluation Benchmark (2020) — 460 citations
- Pre-Trained Language Models for Text Generation: A Survey (2022) — 314 citations
- TextBox: A Unified, Modularized, and Extensible Framework for Text Generation (2021) — 30 citations