Kashun Shum

Artificial Intelligence · 2023

A researcher in the Science corpus: 3 papers; trusts 11 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 101 citations into it; #34,662 of 35,345 by trust here, #13,962 by citations
• Statistical and Nonlinear Physics — 6 citations into it

Whom Kashun Shum trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Yoshua Bengio
4. Alex Krizhevsky
5. Alec Radford
6. Ilya Sutskever
7. Kaiming He
8. Long Ouyang
9. John Schulman
10. Yann LeCun

Who trusts Kashun Shum overall

1. Hanze Dong
2. Wei Xiong

Papers from Kashun Shum's perspective

Ordered by how strongly the researchers Kashun Shum trusts endorse each paper. Same corpus, a different order for every researcher.

1. Attention is All you Need (Neural Information Processing Systems)
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. Language Models are Few-Shot Learners (Neural Information Processing Systems)
8. Language Models are Unsupervised Multitask Learners
9. Gradient-based learning applied to document recognition
10. ImageNet: A large-scale hierarchical image database

Their papers

• RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment (2023) — 752 citations
• LMFlow: An Extensible Toolkit for Finetuning and Inference of Large Foundation Models (2023) — 82 citations
• RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models (2023) — 319 citations