Hao-Chun Peng
Artificial Intelligence · 2022–2023
A researcher in the Science corpus: 3 papers; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 75 citations into it
- Prompting & Reasoning — 29 citations into it
- Natural Language Processing — 22 citations into it
Whom Hao-Chun Peng trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jason Wei
- Xuezhi Wang
- Geoffrey E. Hinton
- Yoshua Bengio
- Diederik P. Kingma
- Pavel Senin
- Alex Krizhevsky
- Ilya Sutskever
- Quoc V. Le
- Karl Cobbe
Who trusts Hao-Chun Peng overall
Papers from Hao-Chun Peng's perspective
Ordered by how strongly the researchers Hao-Chun Peng 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
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Language Models are Few-Shot Learners (Neural Information Processing Systems)
Their papers
- Complexity-Based Prompting for Multi-Step Reasoning (2022) — 629 citations
- Chain-of-Thought Hub: A Continuous Effort to Measure Large Language Models' Reasoning Performance (2023) — 134 citations
- Specializing Smaller Language Models towards Multi-Step Reasoning (2023) — 363 citations