Tianyang Liu

Artificial Intelligence · 2023–2024

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 25 citations into it
• Information Systems — 22 citations into it
• Large Language Models — 19 citations into it
• Code Generation & Program Synthesis — 12 citations into it

Whom Tianyang Liu trusts overall

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

1. Alec Radford
2. Jacob Devlin
3. Geoffrey E. Hinton
4. Daya Guo
5. Yoshua Bengio
6. Diederik P. Kingma
7. Ashish Vaswani
8. Ilya Sutskever
9. Alex Krizhevsky
10. Alexey Svyatkovskiy

Who trusts Tianyang Liu overall

1. Daya Guo
2. Chun Xia
3. Naman Jain
4. Zefan Cai
5. Yinlin Deng
6. Canwen Xu

Papers from Tianyang Liu's perspective

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

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

Their papers

• StarCoder 2 and The Stack v2: The Next Generation (2024) — 698 citations
• RepoBench: Benchmarking Repository-Level Code Auto-Completion Systems (2023) — 404 citations