Linting Xue

Google (United States) — United States

Computer Science · Physical Sciences

10h-index3.6kcitations25works0.02yr avg
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Research Topics

Natural Language Processing Techniques(16), Topic Modeling(15), Multimodal Machine Learning Applications(7), Software Engineering Research(5), Speech Recognition and Synthesis(3)

Publications23 total

MaXM: Towards Multilingual Visual Question Answering
2023· 12 citedOpen Access
PaLI: A Jointly-Scaled Multilingual Language-Image Model
arXiv (Cornell University)·2022· 194 citedOpen Access
MaXM: Towards Multilingual Visual Question Answering
arXiv (Cornell University)·2022· 2 citedOpen Access
ByT5: Towards a Token-Free Future with Pre-trained Byte-to-Byte Models
Transactions of the Association for Computational Linguistics·2022· 218 citedOpen Access
nmT5 -- Is parallel data still relevant for pre-training massively multilingual language models?
arXiv (Cornell University)·2021· 1 citedOpen Access
ByT5: Towards a token-free future with pre-trained byte-to-byte models
arXiv (Cornell University)·2021· 69 citedOpen Access
nmT5 - Is parallel data still relevant for pre-training massively multilingual language models?
2021· 10 citedOpen Access
Towards Zero-Shot Multilingual Synthetic Question and Answer Generation for Cross-Lingual Reading Comprehension
2021· 14 citedOpen Access
mT5: A Massively Multilingual Pre-trained Text-to-Text Transformer
2021· 1.5k citedOpen Access
Towards Zero-Shot Multilingual Synthetic Question and Answer Generation for Cross-Lingual Reading Comprehension
arXiv (Cornell University)·2020Open Access
Multilingual Synthetic Question and Answer Generation for Cross-Lingual Reading Comprehension.
arXiv (Cornell University)·2020· 7 citedOpen Access
mT5: A massively multilingual pre-trained text-to-text transformer
arXiv (Cornell University)·2020· 601 citedOpen Access
Incorporating Task-Specific Features into Deep Models to Classify Argument Components.
Educational Data Mining·2020
Incorporating Task-specific Features into End-to-End Models to Extract Argument Structures from Natural Language Corpora.
2020Open Access
A Social Network Analysis on Blended Courses
arXiv (Cornell University)·2017· 9 citedOpen Access
Mining Innovative Augmented Graph Grammars for Argument Diagrams through Novelty Selection.
Educational Data Mining·2017· 1 cited
Intelligent Argument Grading System forStudent-produced Argument Diagrams.
Educational Data Mining·2017
Graph-based Educational Data Mining.
Educational Data Mining·2017· 4 cited
Evolving Augmented Graph Grammars for Argument Analysis
2016· 4 cited
Unnatural Feature Engineering: Evolving Augmented Graph Grammars for Argument Diagrams.
Educational Data Mining·2016· 2 cited
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Frequent Co-authors

Noah Constant(9), Mihir Kale(9), Collin Lynch(7), Rami Al‐Rfou(6), Aditya Siddhant(4), Aditya Barua(4), Colin Raffel(4), Min Chi(4), Adam P. Roberts(3), Xi Chen(3), Soravit Changpinyo(3), Radu Soricut(3), Siamak Shakeri(3), Sharan Narang(2), Songpo Li(2), Fernando J. Kim(2), Ashish V. Thapliyal(2), Idan Szpektor(2), Julien Amelot(2), Melvin Johnson(2)