Xiang Deng
Artificial Intelligence · with Sun · 2021–2023
A researcher in the Science corpus: 6 papers; trusts 209 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 206 citations into it
- Natural Language Processing — 97 citations into it
- Computer Vision and Pattern Recognition — 91 citations into it
- Large Language Models — 82 citations into it
- Prompting & Reasoning — 45 citations into it
- Evaluation & Benchmarks — 43 citations into it
- Information Systems — 22 citations into it
- Information Retrieval & Search — 14 citations into it
Whom Xiang Deng trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Diederik P. Kingma
- Ilya Sutskever
- Alex Krizhevsky
- Alec Radford
- Yann LeCun
- Danqi Chen
- Kaiming He
- Ilya Loshchilov
Who trusts Xiang Deng overall
- Boyu Gou
- Boyuan Zheng
- Yifei Li
- Qiusi Zhan
- Yixuan Weng
- Xinyu Pi
- Hongliang He
- Chen Gao
- Zeqi Lin
- Jierui Li
Papers from Xiang Deng's perspective
Ordered by how strongly the researchers Xiang Deng 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
- 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
- Shepherd Pre-trained Language Models to Develop a Train of Thought: An Iterative Prompting Approach (2022) — 9 citations
- Iteratively Prompt Pre-trained Language Models for Chain of Thought (2022) — 134 citations
- Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters (2022) — 397 citations
- Mind2Web: Towards a Generalist Agent for the Web (2023) — 1,276 citations
- AgentBench: Evaluating LLMs as Agents (2023) — 1,063 citations
- ReasonBERT: Pre-trained to Reason with Distant Supervision (2021) — 35 citations