Zhihong Shao
Artificial Intelligence · 2023–2025
A researcher in the Science corpus: 10 papers; trusts 96 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 366 citations into it
- Large Language Models — 147 citations into it
- Evaluation & Benchmarks — 109 citations into it
- Natural Language Processing — 105 citations into it
- Prompting & Reasoning — 84 citations into it
- Computer Vision and Pattern Recognition — 83 citations into it
- Information Systems — 48 citations into it
- Efficiency & Compression — 27 citations into it
Whom Zhihong Shao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Diederik P. Kingma
- Alex Krizhevsky
- Ilya Sutskever
- Kaiming He
- Yann LeCun
- Alex Graves
- Dan Hendrycks
- Jimmy Ba
Who trusts Zhihong Shao overall
- J. Chen
- Weihao Zeng
- K. Gandhi
- Haoxiang Wang
- Bowen Jin
- Wenxuan Huang
- Jie Liu
- Ganqu Cui
- Xueguang Ma
- Wenhu Chen
Papers from Zhihong Shao's perspective
Ordered by how strongly the researchers Zhihong Shao 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
- DeepSeek-R1 incentivizes reasoning in LLMs through reinforcement learning (2025) — 5,477 citations
- DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model (2024) — 1,318 citations
- CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing (2023) — 809 citations
- DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models (2024) — 7,648 citations
- DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence (2024) — 469 citations
- DeepSeek-V3 Technical Report (2024) — 3,725 citations
- DeepSeek LLM: Scaling Open-Source Language Models with Longtermism (2024) — 805 citations
- Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations (2023) — 1,036 citations
- Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy (2023) — 536 citations
- ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving (2023) — 314 citations