Yun Luo
12 papers · 2020–2025 · 6 venues · across top CS/AI venues
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Research topics
Artificial Intelligence
(9)
Machine Learning
(9)
Natural Language Processing
(8)
Learning Types Β· Machine Learning
(8)
Applications
(7)
Core AI
(7)
Deep Learning
(5)
Resources & Methods
(5)
Core Methods
(3)
Learning Types Β· Deep Learning
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Learning Paradigms
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Optimization & Theory
(2)
Computer Vision
(1)
Analysis
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Application Areas
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Keywords
large language model
(4)
text classification
(2)
question answering
(2)
zero-shot learning
(2)
natural language inference
(2)
contrastive learning
(2)
information retrieval
(2)
sentiment analysis
(1)
self-supervised learning
(1)
computer vision
(1)
argument mining
(1)
attention mechanism
(1)
knowledge editing
(1)
machine translation
(1)
model calibration
(1)
domain adaptation
(1)
data augmentation
(1)
stance detection
(1)
document summarization
(1)
natural language processing
(1)
Papers
Keys to Robust Edits: From Theoretical Insights to Practical Advances
ACL 2025
PerSphere: A Comprehensive Framework for Multi-Faceted Perspective Retrieval and Summarization
ACL 2025
Task Calibration: Calibrating Large Language Models on Inference Tasks
ACL 2025
Knowledge-Centric Hallucination Detection
EMNLP 2024
OpenResearcher: Unleashing AI for Accelerated Scientific Research
EMNLP 2024
RefuteBench: Evaluating Refuting Instruction-Following for Large Language Models
ACL 2024
XAL: EXplainable Active Learning Makes Classifiers Better Low-resource Learners
NAACL 2024
Enhancing Argument Structure Extraction with Efficient Leverage of Contextual Information
EMNLP 2023
Exploiting Sentiment and Common Sense for Zero-shot Stance Detection
COLING 2022
Mere Contrastive Learning for Cross-Domain Sentiment Analysis
COLING 2022
Towards Reasonable Budget Allocation in Untargeted Graph Structure Attacks via Gradient Debias
NeurIPS 2022
FedVision: An Online Visual Object Detection Platform Powered by Federated Learning
AAAI 2020