Tongtong Wu

About Tongtong Wu

Tongtong Wu, With an exceptional h-index of 5 and a recent h-index of 5 (since 2020), a distinguished researcher at Southeast University, specializes in the field of Continual Learning, Natural Language Processing, Knowledge Graph.

His recent articles reflect a diverse array of research interests and contributions to the field:

Counter-intuitive: Large Language Models Can Better Understand Knowledge Graphs Than We Thought

Continual Learning for Large Language Models: A Survey

Towards Event Extraction from Speech with Contextual Clues

Benchmarking Large Language Models in Complex Question Answering Attribution using Knowledge Graphs

Towards Lifelong Scene Graph Generation with Knowledge-ware In-context Prompt Learning

Continual Multimodal Knowledge Graph Construction

KC-GEE: Knowledge-based Conditioning for Generative Event Extraction

NormMark: A Weakly Supervised Markov Model for Socio-cultural Norm Discovery

Tongtong Wu Information

University

Position

___

Citations(all)

187

Citations(since 2020)

187

Cited By

29

hIndex(all)

5

hIndex(since 2020)

5

i10Index(all)

5

i10Index(since 2020)

5

Email

University Profile Page

Google Scholar

Tongtong Wu Skills & Research Interests

Continual Learning

Natural Language Processing

Knowledge Graph

Top articles of Tongtong Wu

Counter-intuitive: Large Language Models Can Better Understand Knowledge Graphs Than We Thought

arXiv preprint arXiv:2402.11541

2024/2/18

Tongtong Wu
Tongtong Wu

H-Index: 3

Yang Sheng
Yang Sheng

H-Index: 4

Continual Learning for Large Language Models: A Survey

2024/2/2

Towards Event Extraction from Speech with Contextual Clues

arXiv preprint arXiv:2401.15385

2024/1/27

Benchmarking Large Language Models in Complex Question Answering Attribution using Knowledge Graphs

arXiv preprint arXiv:2401.14640

2024/1/26

Towards Lifelong Scene Graph Generation with Knowledge-ware In-context Prompt Learning

arXiv preprint arXiv:2401.14626

2024/1/26

Continual Multimodal Knowledge Graph Construction

arXiv preprint arXiv:2305.08698

2023/5/15

KC-GEE: Knowledge-based Conditioning for Generative Event Extraction

World Wide Web

2023/11

NormMark: A Weakly Supervised Markov Model for Socio-cultural Norm Discovery

arXiv preprint arXiv:2305.16598

2023/5/26

Learn from Yesterday: A Semi-Supervised Continual Learning Method for Supervision-Limited Text-to-SQL Task Streams

2023

Event Causality Identification via Derivative Prompt Joint Learning

2022/10

Heng Zhou
Heng Zhou

H-Index: 2

Tongtong Wu
Tongtong Wu

H-Index: 3

Variational Autoencoder with Disentanglement Priors for Low-Resource Task-Specific Natural Language Generation

arXiv preprint arXiv:2202.13363

2022/2/27

Towards Relation Extraction From Speech

arXiv preprint arXiv:2210.08759

2022/10/17

Pretrained Language Model in Continual Learning: A Comparative Study

2021/10/6

Adaptive Knowledge-Enhanced Bayesian Meta-Learning for Few-shot Event Detection

arXiv preprint arXiv:2105.09509

2021/5/20

Curriculum-Meta Learning for Order-Robust Continual Relation Extraction

Proceedings of the AAAI conference on artificial intelligence

2021/5/18

Tongtong Wu
Tongtong Wu

H-Index: 3

Yuan-Fang Li
Yuan-Fang Li

H-Index: 15

A Hash Learning Framework for Search-Oriented Knowledge Graph Embedding

2020

Meng Wang
Meng Wang

H-Index: 9

Tongtong Wu
Tongtong Wu

H-Index: 3

Few-Shot Complex Knowledge Base Question Answering via Meta Reinforcement Learning

2020

Yuan-Fang Li
Yuan-Fang Li

H-Index: 15

Tongtong Wu
Tongtong Wu

H-Index: 3

See List of Professors in Tongtong Wu University(Southeast University)

Co-Authors

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