Liwei Jiang
Artificial Intelligence · 2021–2024
A researcher in the Science corpus: 8 papers; trusts 165 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 253 citations into it; #32,900 of 35,345 by trust here, #9,968 by citations
- Natural Language Processing — 181 citations into it; #5,293 of 5,688 by trust here, #2,011 by citations
- Computer Vision and Pattern Recognition — 75 citations into it
- Large Language Models — 51 citations into it
- Evaluation & Benchmarks — 44 citations into it
- Safety, Robustness & Interpretability — 41 citations into it
- Reinforcement Learning — 27 citations into it
- Sociology and Political Science — 13 citations into it
Whom Liwei Jiang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Diederik P. Kingma
- Yoshua Bengio
- Ilya Sutskever
- Alex Krizhevsky
- Alec Radford
- Kaiming He
- Yann LeCun
- Richard Socher
- Alex Graves
Who trusts Liwei Jiang overall
Papers from Liwei Jiang's perspective
Ordered by how strongly the researchers Liwei Jiang trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- 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
- Symbolic Knowledge Distillation: from General Language Models to Commonsense Models (2021) — 392 citations
- Quark: Controllable Text Generation with Reinforced Unlearning (2022) — 277 citations
- NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics (2021) — 200 citations
- Aligning to Social Norms and Values in Interactive Narratives (2022) — 54 citations
- WildGuard: Open One-Stop Moderation Tools for Safety Risks, Jailbreaks, and Refusals of LLMs (2024) — 456 citations
- Impossible Distillation for Paraphrasing and Summarization: How to Make High-quality Lemonade out of Small, Low-quality Model (2023) — 39 citations
- ProsocialDialog: A Prosocial Backbone for Conversational Agents (2022) — 159 citations
- Delphi: Towards Machine Ethics and Norms (2021) — 135 citations