Jackie Chi Kit Cheung

Artificial Intelligence · 2013–2023

A researcher in the Science corpus: 18 papers; trusts 568 researchers and is trusted by 38 researchers here, as inferred from the citation graph.

Subfields

Artificial Intelligence — 323 citations into it; #6,614 of 35,345 by trust here, #5,880 by citations
Natural Language Processing — 308 citations into it; #1,249 of 5,688 by trust here, #1,262 by citations
Computer Vision and Pattern Recognition — 100 citations into it; #20,341 of 21,575 by trust here, #12,689 by citations
Evaluation & Benchmarks — 83 citations into it
Large Language Models — 44 citations into it
Representation & Self-Supervised Learning — 28 citations into it
Safety, Robustness & Interpretability — 25 citations into it
Generative Models — 22 citations into it

Whom Jackie Chi Kit Cheung trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

Who trusts Jackie Chi Kit Cheung overall

Papers from Jackie Chi Kit Cheung's perspective

Ordered by how strongly the researchers Jackie Chi Kit Cheung trusts endorse each paper. Same corpus, a different order for every researcher.

Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
ImageNet classification with deep convolutional neural networks
Attention is All you Need (Neural Information Processing Systems)
Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
Long Short-Term Memory
Gradient-based learning applied to document recognition
ImageNet: A large-scale hierarchical image database
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)

Their papers

BanditSum: Extractive Summarization as a Contextual Bandit (2018) — 189 citations
Probabilistic Frame Induction (2013) — 117 citations
Multi-Fact Correction in Abstractive Text Summarization (2020) — 133 citations
The KnowRef Coreference Corpus: Removing Gender and Number Cues for Difficult Pronominal Anaphora Resolution (2018) — 58 citations
Factual Error Correction for Abstractive Summarization Models (2020) — 189 citations
Unsupervised Sentence Enhancement for Automatic Summarization (2014) — 41 citations
How Reasonable are Common-Sense Reasoning Tasks: A Case-Study on the Winograd Schema Challenge and SWAG (2018) — 44 citations
Generating Character Descriptions for Automatic Summarization of Fiction (2019) — 24 citations
Why Exposure Bias Matters: An Imitation Learning Perspective of Error Accumulation in Language Generation (2022) — 131 citations
Using Interactive Feedback to Improve the Accuracy and Explainability of Question Answering Systems Post-Deployment (2022) — 32 citations
A Generalized Knowledge Hunting Framework for the Winograd Schema Challenge (2018) — 21 citations
A Knowledge Hunting Framework for Common Sense Reasoning (2018) — 41 citations
Hallucinated but Factual! Inspecting the Factuality of Hallucinations in Abstractive Summarization (2021) — 193 citations
Systematic Rectification of Language Models via Dead-end Analysis (2023) — 22 citations
On the Systematicity of Probing Contextualized Word Representations: The Case of Hypernymy in BERT (2020) — 92 citations
On Variational Learning of Controllable Representations for Text without Supervision (2019) — 70 citations
On the Evaluation of Common-Sense Reasoning in Natural Language Understanding (2018) — 29 citations
Clustering-Oriented Representation Learning with Attractive-Repulsive Loss (2018) — 14 citations