Shuyan Zhou
Artificial Intelligence · 2022–2024
A researcher in the Science corpus: 7 papers; trusts 108 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 217 citations into it; #28,487 of 35,345 by trust here, #6,330 by citations
- Natural Language Processing — 118 citations into it
- Information Systems — 78 citations into it
- Computer Vision and Pattern Recognition — 75 citations into it
- Evaluation & Benchmarks — 56 citations into it; #3,133 of 3,147 by trust here, #2,393 by citations
- Prompting & Reasoning — 43 citations into it
- Code Generation & Program Synthesis — 36 citations into it; #217 of 220 by trust here, #120 by citations
- Reinforcement Learning — 18 citations into it
Whom Shuyan Zhou trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Diederik P. Kingma
- Ilya Sutskever
- Alex Krizhevsky
- Chin-Yew Lin
- Kaiming He
- Yann LeCun
- Jacob Devlin
- Richard Socher
Who trusts Shuyan Zhou overall
- Aman Madaan
- Ansong Ni
- D'idac Sur'is
- Xingyao Wang
- Xiang Yue
- Hongliang He
- Xu Huang
- Jing Yu Koh
- Naman Jain
- Weize Chen
Papers from Shuyan Zhou's perspective
Ordered by how strongly the researchers Shuyan Zhou trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- 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
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- PAL: Program-aided Language Models (2022) — 774 citations
- VisualWebArena: Evaluating Multimodal Agents on Realistic Visual Web Tasks (2024) — 628 citations
- Language Models of Code are Few-Shot Commonsense Learners (2022) — 278 citations
- CodeBERTScore: Evaluating Code Generation with Pretrained Models of Code (2023) — 194 citations
- WebArena: A Realistic Web Environment for Building Autonomous Agents (2023) — 1,666 citations
- Execution-Based Evaluation for Open-Domain Code Generation (2022) — 119 citations
- MCoNaLa: A Benchmark for Code Generation from Multiple Natural Languages (2022) — 63 citations