Tiezheng Yu

Artificial Intelligence · 2021–2023

A researcher in the Science corpus: 5 papers; trusts 249 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 338 citations into it; #29,780 of 35,345 by trust here, #7,172 by citations
• Natural Language Processing — 279 citations into it
• Computer Vision and Pattern Recognition — 137 citations into it; #21,542 of 21,575 by trust here, #5,464 by citations
• Evaluation & Benchmarks — 70 citations into it
• Large Language Models — 50 citations into it
• Multimodal Learning — 31 citations into it
• Information Systems — 20 citations into it
• Model Architectures — 19 citations into it

Whom Tiezheng Yu trusts overall

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

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

Who trusts Tiezheng Yu overall

1. Wenliang Dai
2. Zihan Liu
3. Ziwei Ji

Papers from Tiezheng Yu's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Attention is All you Need (Neural Information Processing Systems)
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. ImageNet: A large-scale hierarchical image database
8. Gradient-based learning applied to document recognition
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Survey of Hallucination in Natural Language Generation (2022) — 5,175 citations
• Towards Mitigating LLM Hallucination via Self Reflection (2023) — 496 citations
• A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity (2023) — 1,776 citations
• AdaptSum: Towards Low-Resource Domain Adaptation for Abstractive Summarization (2021) — 87 citations
• Vision Guided Generative Pre-trained Language Models for Multimodal Abstractive Summarization (2021) — 85 citations