Kevin Chang
15 papers · 2014–2024 · 6 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (34) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
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Topic Evolution
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Renaissance Researcher
(7)
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Unstoppable Β· Bronze
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The Questioner
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Prolific Year Β· Productive
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Century Club Β· Bronze
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Research topics
Machine Learning
(10)
Natural Language Processing
(9)
Artificial Intelligence
(8)
Core AI
(7)
Generation
(6)
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(5)
Core Methods
(5)
Learning Types
(3)
Resources & Methods
(3)
Interdisciplinary
(2)
Knowledge & Reasoning
(2)
Application Areas
(2)
Linguistics
(2)
Optimization & Theory
(2)
Representation
(2)
Keywords
text generation
(3)
semi-supervised learning
(2)
relation modeling
(2)
information extraction
(2)
knowledge graph
(2)
large language model
(2)
hierarchical learning
(1)
label propagation
(1)
probabilistic modeling
(1)
relation extraction
(1)
natural language inference
(1)
natural language generation
(1)
natural language processing
(1)
semantic parsing
(1)
responsible ai
(1)
object detection
(1)
question generation
(1)
semantic representation
(1)
definition modeling
(1)
semantic analysis
(1)
Papers
Citation: A Key to Building Responsible and Accountable Large Language Models
NAACL 2024
GPT-Fathom: Benchmarking Large Language Models to Decipher the Evolutionary Path towards GPT-4 and Beyond
NAACL 2024
Quantifying Association Capabilities of Large Language Models and Its Implications on Privacy Leakage
EACL 2024
Abstractive Open Information Extraction
EMNLP 2023
Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs
NeurIPS 2023
Expository Text Generation: Imitate, Retrieve, Paraphrase
EMNLP 2023
Text Fact Transfer
EMNLP 2023
VER: Unifying Verbalizing Entities and Relations
EMNLP 2023
CoVA: Context-aware Visual Attention for Webpage Information Extraction
ACL 2022
Domain Representative Keywords Selection: A Probabilistic Approach
ACL 2022
Open Relation Modeling: Learning to Define Relations between Entities
ACL 2022
Measuring Fine-Grained Domain Relevance of Terms: A Hierarchical Core-Fringe Approach
ACL 2021
Curvature Regularization to Prevent Distortion in Graph Embedding
NeurIPS 2020
Exploring Semantic Capacity of Terms
EMNLP 2020
Graph-based Semi-supervised Learning: Realizing Pointwise Smoothness Probabilistically
ICML 2014