Junyi Jessy Li
Artificial Intelligence · 2016–2022
A researcher in the Science corpus: 6 papers; trusts 208 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 125 citations into it; #17,093 of 35,345 by trust here, #12,387 by citations
- Natural Language Processing — 113 citations into it; #3,814 of 5,688 by trust here, #3,754 by citations
- Evaluation & Benchmarks — 53 citations into it
- Computer Vision and Pattern Recognition — 16 citations into it
- Large Language Models — 13 citations into it; #559 of 799 by trust here, #648 by citations
- Information Systems — 11 citations into it
- Model Architectures — 8 citations into it
- Representation & Self-Supervised Learning — 8 citations into it
Whom Junyi Jessy Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Chin-Yew Lin
- Michael Collins
- Diederik P. Kingma
- Geoffrey E. Hinton
- Yoshua Bengio
- Ilya Sutskever
- Richard Socher
- Alex Krizhevsky
- Yann LeCun
- Tomas Mikolov
Who trusts Junyi Jessy Li overall
- Romain Paulus
- Faisal Ladhak
- Asli Celikyilmaz
- Wojciech Kryscinski
- Caiming Xiong
- M. V. Koroteev
- Richard Socher
- Lingjiao Chen
- Antoine Bosselut
- Bryan Li
Papers from Junyi Jessy Li's perspective
Ordered by how strongly the researchers Junyi Jessy Li trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- 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)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
Their papers
- The Role of Discourse Units in Near-Extractive Summarization (2016) — 64 citations
- News Summarization and Evaluation in the Era of GPT-3 (2022) — 502 citations
- A Corpus with Multi-Level Annotations of Patients, Interventions and Outcomes to Support Language Processing for Medical Literature (2018) — 254 citations
- Deep Just-In-Time Inconsistency Detection Between Comments and Source Code (2020) — 66 citations
- Linguistically-Informed Specificity and Semantic Plausibility for Dialogue Generation (2019) — 32 citations
- Evaluating Factuality in Text Simplification (2022) — 55 citations