Chi-Min Chan
Artificial Intelligence · 2021–2023
A researcher in the Science corpus: 4 papers; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 138 citations into it
- Natural Language Processing — 55 citations into it
- Computer Vision and Pattern Recognition — 50 citations into it
- Evaluation & Benchmarks — 32 citations into it
Whom Chi-Min Chan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Chin-Yew Lin
- Geoffrey E. Hinton
- Chris Callison-Burch
- Jacob Devlin
- Grzegorz Kondrak
- Yoshua Bengio
- Diederik P. Kingma
- Alex Krizhevsky
- Ilya Sutskever
- Jimmy Ba
Who trusts Chi-Min Chan overall
Papers from Chi-Min Chan's perspective
Ordered by how strongly the researchers Chi-Min Chan 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
- ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate (2023) — 961 citations
- Parameter-efficient fine-tuning of large-scale pre-trained language models (2023) — 1,192 citations
- AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors in Agents (2023) — 698 citations
- On Transferability of Prompt Tuning for Natural Language Understanding (2021) — 21 citations