Ningyu Zhang
Artificial Intelligence · 2019–2023
A researcher in the Science corpus: 7 papers; trusts 68 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 307 citations into it
- Natural Language Processing — 142 citations into it
- Large Language Models — 116 citations into it
- Prompting & Reasoning — 95 citations into it
- Computer Vision and Pattern Recognition — 93 citations into it
- Representation & Self-Supervised Learning — 14 citations into it
- General Social Sciences — 7 citations into it
Whom Ningyu Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Diederik P. Kingma
- Alex Krizhevsky
- Ilya Sutskever
- Tomas Mikolov
- Yann LeCun
- Jacob Devlin
- Kaiming He
- L. V. D. van der Maaten
Who trusts Ningyu Zhang overall
Papers from Ningyu Zhang's perspective
Ordered by how strongly the researchers Ningyu 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)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- 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
- Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners (2021) — 209 citations
- Reasoning with Language Model Prompting: A Survey (2022) — 441 citations
- KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction (2021) — 507 citations
- Kformer: Knowledge Injection in Transformer Feed-Forward Layers (2022) — 52 citations
- Editing Large Language Models: Problems, Methods, and Opportunities (2023) — 475 citations
- AdaPrompt: Adaptive Prompt-based Finetuning for Relation Extraction (2021)
- Long-tail Relation Extraction via Knowledge Graph Embeddings and Graph Convolution Networks (2019) — 216 citations