Chi-kiu (羅致翹) Lo
Natural Language Processing · 2016–2022
A researcher in the Science corpus: 7 papers; trusts 69 researchers and is trusted by 36 researchers here, as inferred from the citation graph.
Subfields
- Natural Language Processing — 102 citations into it
- Artificial Intelligence — 101 citations into it; #4,965 of 35,345 by trust here, #9,968 by citations
- Evaluation & Benchmarks — 71 citations into it; #498 of 3,147 by trust here, #1,399 by citations
- Computer Vision and Pattern Recognition — 25 citations into it
- Machine Translation — 8 citations into it; #12 of 292 by trust here, #58 by citations
- Model Architectures — 6 citations into it
- Large Language Models — 5 citations into it
- Representation & Self-Supervised Learning — 5 citations into it
Whom Chi-kiu (羅致翹) Lo trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Maja Popovic
- Ondrej Bojar
- Ashish Vaswani
- Jacob Devlin
- Michael J. Denkowski
- Tomas Mikolov
- Philipp Koehn
- Qingsong Ma
- Ilya Sutskever
- Anders Björkelund
Who trusts Chi-kiu (羅致翹) Lo overall
- M. V. Koroteev
- Ricardo Rei
- Markus Freitag
- Nitika Mathur
- Asli Celikyilmaz
- Patrick Littell
- Marta Ruiz Costa-jussà
- Elizabeth Clark
- Tim Baldwin
- José G. C. de Souza
Papers from Chi-kiu (羅致翹) Lo's perspective
Ordered by how strongly the researchers Chi-kiu (羅致翹) Lo 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)
- Long Short-Term Memory
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- 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)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
Their papers
- Results of WMT22 Metrics Shared Task: Stop Using BLEU – Neural Metrics Are Better and More Robust (2022) — 351 citations
- YiSi - a Unified Semantic MT Quality Evaluation and Estimation Metric for Languages with Different Levels of Available Resources (2019) — 154 citations
- Multi-Source Transformer for Kazakh-Russian-English Neural Machine Translation (2019) — 17 citations
- Findings of the 2020 Conference on Machine Translation (WMT20) (2020) — 316 citations
- Measuring sentence parallelism using Mahalanobis distances: The NRC unsupervised submissions to the WMT18 Parallel Corpus Filtering shared task (2018) — 8 citations
- Results of the WMT21 Metrics Shared Task: Evaluating Metrics with Expert-based Human Evaluations on TED and News Domain (2021) — 206 citations
- NRC Russian-English Machine Translation System for WMT 2016 (2016) — 10 citations