Lucia Zheng
Artificial Intelligence · 2021–2024
A researcher in the Science corpus: 5 papers; trusts 3 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 119 citations into it; #34,913 of 35,345 by trust here, #1,887 by citations
- Natural Language Processing — 68 citations into it
- Large Language Models — 40 citations into it
Whom Lucia Zheng trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alec Radford
- Jacob Devlin
- Ilias Chalkidis
- Taku Kudo
- Geoffrey E. Hinton
- Iz Beltagy
- Diederik P. Kingma
- Yoshua Bengio
- Yinhan Liu
- Haoxiang Zhong
Who trusts Lucia Zheng overall
Papers from Lucia Zheng's perspective
Ordered by how strongly the researchers Lucia Zheng trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- On the Opportunities and Risks of Foundation Models (2021) — 6,923 citations
- Holistic Evaluation of Language Models (2023) — 1,863 citations
- When does pretraining help?: assessing self-supervised learning for law and the CaseHOLD dataset of 53,000+ legal holdings (2021) — 362 citations
- When Benchmarks are Targets: Revealing the Sensitivity of Large Language Model Leaderboards (2024) — 153 citations
- Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset (2022) — 154 citations