Hao Sun
Artificial Intelligence · with Huang · 2021–2023
A researcher in the Science corpus: 6 papers; trusts 85 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 238 citations into it
- Natural Language Processing — 183 citations into it
- Safety, Robustness & Interpretability — 112 citations into it
- Large Language Models — 65 citations into it
- Computer Vision and Pattern Recognition — 41 citations into it
Whom Hao Sun trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Diederik P. Kingma
- Alec Radford
- Yoshua Bengio
- Ilya Sutskever
- Alex Graves
- Alex Krizhevsky
- Emily Dinan
- Yann LeCun
- Jason Aaron Edward Weston
Who trusts Hao Sun overall
Papers from Hao Sun's perspective
Ordered by how strongly the researchers Hao Sun 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)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- 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)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- 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)
Their papers
- On the Safety of Conversational Models: Taxonomy, Dataset, and Benchmark (2021) — 117 citations
- Towards Safer Generative Language Models: A Survey on Safety Risks, Evaluations, and Improvements (2023) — 26 citations
- EVA2.0: Investigating Open-domain Chinese Dialogue Systems with Large-scale Pre-training (2022) — 60 citations
- COLD: A Benchmark for Chinese Offensive Language Detection (2022) — 170 citations
- Constructing Highly Inductive Contexts for Dialogue Safety through Controllable Reverse Generation (2022) — 11 citations
- EVA: An Open-Domain Chinese Dialogue System with Large-Scale Generative Pre-Training (2021) — 58 citations