Yusheng Su
Artificial Intelligence · 2020–2023
A researcher in the Science corpus: 10 papers; trusts 43 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 387 citations into it
- Large Language Models — 167 citations into it
- Computer Vision and Pattern Recognition — 157 citations into it
- Natural Language Processing — 150 citations into it
- Evaluation & Benchmarks — 53 citations into it
- Information Systems — 23 citations into it
- Computer Networks and Communications — 8 citations into it
Whom Yusheng Su trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Diederik P. Kingma
- Alex Krizhevsky
- Jimmy Ba
- Ilya Sutskever
- Alec Radford
- Richard Socher
- Jacob Devlin
- Yann LeCun
Who trusts Yusheng Su overall
Papers from Yusheng Su's perspective
Ordered by how strongly the researchers Yusheng Su 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
- ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate (2023) — 961 citations
- Communicative Agents for Software Development (2023) — 393 citations
- CPM: A Large-scale Generative Chinese Pre-trained Language Model (2020) — 132 citations
- Tool Learning with Foundation Models (2023) — 420 citations
- Parameter-efficient fine-tuning of large-scale pre-trained language models (2023) — 1,192 citations
- ChatDev: Communicative Agents for Software Development (2023) — 988 citations
- AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors in Agents (2023) — 698 citations
- On Transferability of Prompt Tuning for Natural Language Understanding (2021) — 21 citations
- Knowledge Inheritance for Pre-trained Language Models (2021) — 65 citations
- Exploring Low-dimensional Intrinsic Task Subspace via Prompt Tuning (2021) — 39 citations