Ruochen Xu

Artificial Intelligence · 2021–2023

A researcher in the Science corpus: 3 papers; trusts 39 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 110 citations into it
• Natural Language Processing — 67 citations into it
• Evaluation & Benchmarks — 45 citations into it

Whom Ruochen Xu trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Chin-Yew Lin
5. Ilya Sutskever
6. Alex Krizhevsky
7. Kaiming He
8. Richard Socher
9. Jimmy Ba
10. Yann LeCun

Papers from Ruochen Xu's perspective

Ordered by how strongly the researchers Ruochen Xu 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet classification with deep convolutional neural networks
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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment (2023) — 2,735 citations
• Language Models with Image Descriptors are Strong Few-Shot Video-Language Learners (2022) — 171 citations
• Enhancing Factual Consistency of Abstractive Summarization (2021) — 158 citations