Yiyun Zhao
11 papers · 2019–2024 · 5 venues · across top CS/AI venues
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Machine Learning
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Natural Language Processing
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Applications · Natural Language Processing
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Artificial Intelligence
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Core AI
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Understanding
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Learning Types · Machine Learning
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Optimization & Theory
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Deep Learning
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Data Science & Analytics
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Keywords
data augmentation
(4)
source-free domain adaptation
(3)
active learning
(2)
transformer model
(2)
large language model
(2)
information extraction
(1)
semantic parsing
(1)
sequence labeling
(1)
named entity recognition
(1)
model evaluation
(1)
attention mechanism
(1)
information retrieval
(1)
semantic analysis
(1)
instruction following
(1)
linguistic knowledge
(1)
paraphrase generation
(1)
sequence tagging
(1)
probing analysis
(1)
financial analysis
(1)
semantic processing
(1)
Papers
DriftWatch: A Tool that Automatically Detects Data Drift and Extracts Representative Examples Affected by Drift
NAACL 2024
Optimizing LLM Based Retrieval Augmented Generation Pipelines in the Financial Domain
NAACL 2024
Systematic Evaluation of Long-Context LLMs on Financial Concepts
EMNLP 2024
Importance of Synthesizing High-quality Data for Text-to-SQL Parsing
ACL 2023
When and how to paraphrase for named entity recognition?
ACL 2023
A Comparison of Strategies for Source-Free Domain Adaptation
ACL 2022
Do pretrained transformers infer telicity like humans?
CoNLL 2021
SemEval-2021 Task 10: Source-Free Domain Adaptation for Semantic Processing
SemEval 2021
The University of Arizona at SemEval-2021 Task 10: Applying Self-training, Active Learning and Data Augmentation to Source-free Domain Adaptation
SemEval 2021
How does BERT’s attention change when you fine-tune? An analysis methodology and a case study in negation scope
ACL 2020
Inferring missing metadata from environmental policy texts
NAACL 2019