Patrick Liu
12 papers · 2021–2024 · 8 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π§ Keyword Pioneer π£ Hot Topic Early Bird π Conference Polyglot (8) π Renaissance Researcher (5)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(21)
π
Century Club
(12)
β‘
Prolific Year
(6)
Conferences
SEMEVAL (3)
ACL (2)
IJCNLP (2)
AACL (1)
EMNLP (1)
ICLR (1)
NAACL (1)
NIPS (1)
Top co-authors
Keywords
text classification
(4)
word embedding
(3)
transformer model
(3)
tree-based model
(3)
named entity recognition
(3)
quantity identification
(2)
feature engineering
(2)
quantity extraction
(2)
lexical complexity prediction
(2)
lexical complexity
(2)
measurement extraction
(2)
value classification
(2)
unit identification
(2)
regression analysis
(1)
gradient boosting
(1)
information extraction
(1)
bert language model
(1)
natural language understanding
(1)
natural language inference
(1)
feature extraction
(1)
Papers
DiffusionSat: A Generative Foundation Model for Satellite Imagery
ICLR 2024
GLARE: Generative Left-to-right AdversaRial Examples
AACL 2022
SatMAE: Pre-training Transformers for Temporal and Multi-Spectral Satellite Imagery
NIPS 2022
Enhancing Self-Consistency and Performance of Pre-Trained Language Models through Natural Language Inference
EMNLP 2022
Stanford MLab at SemEval 2022 Task 7: Tree- and Transformer-Based Methods for Clarification Plausibility
NAACL 2022
Stanford MLab at SemEval 2022 Task 7: Tree- and Transformer-Based Methods for Clarification Plausibility
SEMEVAL 2022
Stanford MLab at SemEval-2021 Task 1: Tree-Based Modelling of Lexical Complexity using Word Embeddings
IJCNLP 2021
Stanford MLab at SemEval-2021 Task 8: 48 Hours Is All You Need
IJCNLP 2021
Stanford MLab at SemEval-2021 Task 8: 48 Hours Is All You Need
SEMEVAL 2021
Stanford MLab at SemEval-2021 Task 8: 48 Hours Is All You Need
ACL 2021
Stanford MLab at SemEval-2021 Task 1: Tree-Based Modelling of Lexical Complexity using Word Embeddings
SEMEVAL 2021
Stanford MLab at SemEval-2021 Task 1: Tree-Based Modelling of Lexical Complexity using Word Embeddings
ACL 2021