Hongming Zhang
Artificial Intelligence · with Song · 2019–2022
A researcher in the Science corpus: 5 papers; trusts 118 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 117 citations into it; #13,420 of 35,345 by trust here, #11,490 by citations
- Natural Language Processing — 94 citations into it; #2,682 of 5,688 by trust here, #2,888 by citations
- Large Language Models — 27 citations into it
- Computer Vision and Pattern Recognition — 25 citations into it; #11,878 of 21,575 by trust here, #16,367 by citations
- Evaluation & Benchmarks — 23 citations into it; #1,728 of 3,147 by trust here, #2,704 by citations
- Prompting & Reasoning — 16 citations into it
- Knowledge Graphs & Representation — 15 citations into it
- Information Retrieval & Search — 11 citations into it
Whom Hongming Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Sepp Hochreiter
- Geoffrey E. Hinton
- Alec Radford
- Yoshua Bengio
- Jacob Devlin
- Ilya Sutskever
- J. Urgen Schmidhuber
- Richard Socher
- Christopher D. Manning
Who trusts Hongming Zhang overall
- Sarah Wiegreffe
- Swarnadeep Saha
- Ana Marasovic
- Peter West
- Jena D. Hwang
- Yordan Yordanov
- Shirui Pan
- Chenhao Tan
- Chandrasekhar Bhagavatula
- Endang Wahyu Pamungkas
Papers from Hongming Zhang's perspective
Ordered by how strongly the researchers Hongming Zhang 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
- Rethinking with Retrieval: Faithful Large Language Model Inference (2022) — 217 citations
- WinoWhy: A Deep Diagnosis of Essential Commonsense Knowledge for Answering Winograd Schema Challenge (2020) — 60 citations
- TransOMCS: From Linguistic Graphs to Commonsense Knowledge (2020) — 99 citations
- Multilingual and Multi-Aspect Hate Speech Analysis (2019) — 347 citations
- ASER: A Large-scale Eventuality Knowledge Graph (2019) — 184 citations