Kevin Chang
16 papers · 2014–2024 · 7 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (7) 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🏃 Academic Marathon (10)
🐣
Hot Topic Early Bird
🐝
Cross-Pollinator
(14)
🌍
Conference Polyglot
(7)
🤝
Dynamic Duo
(10)
🧬
Topic Evolution
💎
Century Club
(16)
⚡
Prolific Year
(5)
🗃️
Keyword Collector
(82)
❓
The Questioner
🔥
Unstoppable
(5)
Conferences
EMNLP (5)
ACL (4)
NAACL (2)
NIPS (2)
EACL (1)
ICML (1)
IJCNLP (1)
Top co-authors
Keywords
text generation
(3)
semi-supervised learning
(3)
information extraction
(2)
knowledge graph
(2)
domain relevance
(2)
hierarchical learning
(2)
term representation
(2)
large language model
(2)
relation modeling
(2)
semantic graph
(2)
semantic parsing
(1)
natural language generation
(1)
label propagation
(1)
probabilistic modeling
(1)
relation extraction
(1)
natural language inference
(1)
natural language processing
(1)
semantic representation
(1)
definition modeling
(1)
responsible ai
(1)
Papers
Citation: A Key to Building Responsible and Accountable Large Language Models
NAACL 2024
Quantifying Association Capabilities of Large Language Models and Its Implications on Privacy Leakage
EACL 2024
GPT-Fathom: Benchmarking Large Language Models to Decipher the Evolutionary Path towards GPT-4 and Beyond
NAACL 2024
Text Fact Transfer
EMNLP 2023
Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs
NIPS 2023
Abstractive Open Information Extraction
EMNLP 2023
Expository Text Generation: Imitate, Retrieve, Paraphrase
EMNLP 2023
VER: Unifying Verbalizing Entities and Relations
EMNLP 2023
CoVA: Context-aware Visual Attention for Webpage Information Extraction
ACL 2022
Open Relation Modeling: Learning to Define Relations between Entities
ACL 2022
Domain Representative Keywords Selection: A Probabilistic Approach
ACL 2022
Measuring Fine-Grained Domain Relevance of Terms: A Hierarchical Core-Fringe Approach
IJCNLP 2021
Measuring Fine-Grained Domain Relevance of Terms: A Hierarchical Core-Fringe Approach
ACL 2021
Curvature Regularization to Prevent Distortion in Graph Embedding
NIPS 2020
Exploring Semantic Capacity of Terms
EMNLP 2020
Graph-based Semi-supervised Learning: Realizing Pointwise Smoothness Probabilistically
ICML 2014