Shunyu Yao
Artificial Intelligence · with Narasimhan · 2018–2023
A researcher in the Science corpus: 9 papers; trusts 397 researchers and is trusted by 15 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 279 citations into it; #12,073 of 35,345 by trust here, #2,436 by citations
- Computer Vision and Pattern Recognition — 156 citations into it; #15,876 of 21,575 by trust here, #3,582 by citations
- Natural Language Processing — 119 citations into it; #4,167 of 5,688 by trust here, #1,636 by citations
- Reinforcement Learning — 97 citations into it; #1,481 of 2,242 by trust here, #652 by citations
- Large Language Models — 80 citations into it; #518 of 799 by trust here, #425 by citations
- Prompting & Reasoning — 46 citations into it
- LLM Agents & Tool Use — 29 citations into it
- Evaluation & Benchmarks — 21 citations into it
Whom Shunyu Yao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Geoffrey E. Hinton
- Yoshua Bengio
- Ilya Sutskever
- Alex Krizhevsky
- Diederik P. Kingma
- Yann LeCun
- Ross B. Girshick
- Karen Simonyan
- Alex Graves
Who trusts Shunyu Yao overall
- Theodore R. Sumers
- Andy Zhou
- Xingyao Wang
- Andrew Zhao
- Xu Huang
- Noah Shinn
- Jian Xie
- J. Chen
- Karthik Narasimhan
- Izzeddin Gur
Papers from Shunyu Yao's perspective
Ordered by how strongly the researchers Shunyu Yao 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
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Tree of Thoughts: Deliberate Problem Solving with Large Language Models (2023) — 4,499 citations
- 3D-Aware Scene Manipulation via Inverse Graphics (2018) — 92 citations
- ReAct: Synergizing Reasoning and Acting in Language Models (2022) — 8,935 citations
- Keep CALM and Explore: Language Models for Action Generation in Text-based Games (2020) — 156 citations
- WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents (2022) — 1,205 citations
- Multi-Stage Episodic Control for Strategic Exploration in Text Games (2022) — 32 citations
- Reading and Acting while Blindfolded: The Need for Semantics in Text Game Agents (2021) — 28 citations
- Reflexion: language agents with verbal reinforcement learning (2023) — 4,400 citations
- Cognitive Architectures for Language Agents (2023) — 440 citations