Kevin Chang

16 papers · 2014–2024 · 7 conferences · across top CS/AI conferences

Achievements

🏃 Academic Marathon (10) 🗺️ Taxonomy Completionist (37) 🌈 Renaissance Researcher (8) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 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

Jie Huang (10) Wen-Mei Hwu (4) Jinjun Xiong (4) Nishant Balepur (2) Shen Zheng (2) Jinyang Li (1) Binyuan Hui (1) Pritom Saha Akash (1) Lucian Popa (1) Hady Lauw (1)

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