Concepedia

Lingpeng Kong

LK

40

Publications

2.2K

Citations

24

H-Index

2014

Active since

Affiliations

Carnegie Mellon University(Current)

University of Hong Kong

University of Washington

Shanghai Artificial Intelligence Laboratory

Google (United States)

Lingpeng Kong is an author at Carnegie Mellon University specializing in engineering, natural language processing, and machine learning.

Top concepts

EngineeringNatural Language ProcessingComputer ScienceMachine LearningMachine TranslationLinguisticsData ScienceComputational LinguisticsDeep LearningLanguage

Publications per year

2014–2024

40

Publications

40

DyNet: The Dynamic Neural Network Toolkit

Graham Neubig, Chris Dyer, Yoav Goldberg et al. · arXiv (Cornell University) · 2017 · 344 citations · Full text

Dynamic Declaration Toolkit, Engineering, Machine Learning +17

A Dependency Parser for Tweets

Lingpeng Kong, Nathan Schneider, Swabha Swayamdipta et al. · 2014 · 212 citations · Full text

UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models

Tianbao Xie, Chen Wu, Peng Shi et al. · 2022 · 211 citations · Full text

Engineering, Multi-tasking Structured Knowledge, Part-of-speech Tagging +26

Random Feature Attention

Hao Peng, Nikolaos Pappas, Dani Yogatama et al. · arXiv (Cornell University) · 2021 · 122 citations · Full text

Llm Fine-tuning, Engineering, Machine Learning +19

ZeroGen: Efficient Zero-shot Learning via Dataset Generation

Jiacheng Ye, Jiahui Gao, Qintong Li et al. · 2022 · 88 citations · Full text

Artificial Intelligence, Few-shot Learning, Llm Fine-tuning +22

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