Xiaozhi Wang
Artificial Intelligence · 2019–2024
A researcher in the Science corpus: 8 papers; trusts 70 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 252 citations into it
- Natural Language Processing — 158 citations into it
- Large Language Models — 77 citations into it
- Computer Vision and Pattern Recognition — 72 citations into it
- General Social Sciences — 8 citations into it
Whom Xiaozhi Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Yoshua Bengio
- Jacob Devlin
- Ilya Sutskever
- Alex Krizhevsky
- Yann LeCun
- Matthew D. Zeiler
- Kaiming He
- Jimmy Ba
Who trusts Xiaozhi Wang overall
- Sijia Wang
- Tara Safavi
- Shirui Pan
- Tianxiang Sun
- Michihiro Yasunaga
- Nina Poerner
- Amrith Krishna
- Pengfei Yu
- Badr AlKhamissi
- Shaoxiong Ji
Papers from Xiaozhi Wang's perspective
Ordered by how strongly the researchers Xiaozhi Wang trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- 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
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation (2019) — 843 citations
- CPM: A Large-scale Generative Chinese Pre-trained Language Model (2020) — 132 citations
- LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context Multitasks (2024) — 310 citations
- Parameter-efficient fine-tuning of large-scale pre-trained language models (2023) — 1,192 citations
- Exploring Low-dimensional Intrinsic Task Subspace via Prompt Tuning (2021) — 39 citations
- MAVEN: A Massive General Domain Event Detection Dataset (2020) — 225 citations
- Train No Evil: Selective Masking for Task-guided Pre-training (2020) — 68 citations
- Adversarial Language Games for Advanced Natural Language Intelligence (2019) — 8 citations