Ansong Ni
Artificial Intelligence · 2022–2024
A researcher in the Science corpus: 4 papers; trusts 24 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 203 citations into it
- Natural Language Processing — 129 citations into it
- Information Systems — 63 citations into it
Whom Ansong Ni trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Diederik P. Kingma
- Yoshua Bengio
- Ilya Sutskever
- Alex Krizhevsky
- Jacob Devlin
- Luke S. Zettlemoyer
- Yann LeCun
- Kaiming He
- Dzmitry Bahdanau
Who trusts Ansong Ni overall
Papers from Ansong Ni's perspective
Ordered by how strongly the researchers Ansong Ni 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)
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- 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)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
Their papers
- UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models (2022) — 362 citations
- LEVER: Learning to Verify Language-to-Code Generation with Execution (2023) — 351 citations
- Quantifying Contamination in Evaluating Code Generation Capabilities of Language Models (2024) — 73 citations
- L2CEval: Evaluating Language-to-Code Generation Capabilities of Large Language Models (2023) — 44 citations