Kewei Tu

Kewei Tu

Shanghai Tech University

H-index: 24

Asia-China

About Kewei Tu

Kewei Tu, With an exceptional h-index of 24 and a recent h-index of 20 (since 2020), a distinguished researcher at Shanghai Tech University, specializes in the field of Natural Language Processing, Machine Learning.

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

Using Interpretation Methods for Model Enhancement

Frame Semantic Role Labeling Using Arbitrary-Order Conditional Random Fields

Seqgpt: An out-of-the-box large language model for open domain sequence understanding

Generative Pretrained Structured Transformers: Unsupervised Syntactic Language Models at Scale

RoT: Enhancing Large Language Models with Reflection on Search Trees

Improving Retrieval Augmented Open-Domain Question-Answering with Vectorized Contexts

A multi-grained self-interpretable symbolic-neural model for single/multi-labeled text classification

Improving Low-resource Named Entity Recognition with Graph Propagated Data Augmentation

Kewei Tu Information

University

Position

School of Information Science and Technology China

Citations(all)

1883

Citations(since 2020)

1485

Cited By

765

hIndex(all)

24

hIndex(since 2020)

20

i10Index(all)

44

i10Index(since 2020)

37

Email

University Profile Page

Shanghai Tech University

Google Scholar

View Google Scholar Profile

Kewei Tu Skills & Research Interests

Natural Language Processing

Machine Learning

Top articles of Kewei Tu

Title

Journal

Author(s)

Publication Date

Using Interpretation Methods for Model Enhancement

arXiv preprint arXiv:2404.02068

Zhuo Chen

Chengyue Jiang

Kewei Tu

2024/4/2

Frame Semantic Role Labeling Using Arbitrary-Order Conditional Random Fields

Chaoyi Ai

Kewei Tu

2024

Seqgpt: An out-of-the-box large language model for open domain sequence understanding

arXiv preprint arXiv:2308.10529

Tianyu Yu

Chengyue Jiang

Chao Lou

Shen Huang

Xiaobin Wang

...

2023/8/21

Generative Pretrained Structured Transformers: Unsupervised Syntactic Language Models at Scale

arXiv preprint arXiv:2403.08293

Xiang Hu

Pengyu Ji

Qingyang Zhu

Wei Wu

Kewei Tu

2024/3/13

RoT: Enhancing Large Language Models with Reflection on Search Trees

arXiv preprint arXiv:2404.05449

Wenyang Hui

Yan Wang

Kewei Tu

Chengyue Jiang

2024/4/8

Improving Retrieval Augmented Open-Domain Question-Answering with Vectorized Contexts

arXiv preprint arXiv:2404.02022

Zhuo Chen

Xinyu Wang

Yong Jiang

Pengjun Xie

Fei Huang

...

2024/4/2

A multi-grained self-interpretable symbolic-neural model for single/multi-labeled text classification

arXiv preprint arXiv:2303.02860

Xiang Hu

Xinyu Kong

Kewei Tu

2023/3/6

Improving Low-resource Named Entity Recognition with Graph Propagated Data Augmentation

Jiong Cai

Shen Huang

Yong Jiang

Zeqi Tan

Pengjun Xie

...

2023/7

AMR Parsing with Causal Hierarchical Attention and Pointers

arXiv preprint arXiv:2310.11964

Chao Lou

Kewei Tu

2023/10/18

Improving Span Representation by Efficient Span-Level Attention

Pengyu Ji

Songlin Yang

Kewei Tu

2023/12/1

COMBO: A Complete Benchmark for Open KG Canonicalization

Chengyue Jiang

Yong Jiang

Weiqi Wu

Yuting Zheng

Pengjun Xie

...

2023/2/8

Don’t parse, choose spans! continuous and discontinuous constituency parsing via autoregressive span selection

Songlin Yang

Kewei Tu

2023/7

Augmenting transformers with recursively composed multi-grained representations

arXiv preprint arXiv:2309.16319

Xiang Hu

Qingyang Zhu

Kewei Tu

Wei Wu

2023/9/28

Probabilistic Transformer: A Probabilistic Dependency Model for Contextual Word Representation

arXiv preprint arXiv:2311.15211

Haoyi Wu

Kewei Tu

2023/11/26

Structured Mean-Field Variational Inference for Higher-Order Span-Based Semantic Role Labeling

Wei Liu

Songlin Yang

Kewei Tu

2023/7

Do PLMs Know and Understand Ontological Knowledge?

arXiv preprint arXiv:2309.05936

Weiqi Wu

Chengyue Jiang

Yong Jiang

Pengjun Xie

Kewei Tu

2023

Conic10K: A Challenging Math Problem Understanding and Reasoning Dataset

arXiv preprint arXiv:2311.05113

Haoyi Wu

Wenyang Hui

Yezeng Chen

Weiqi Wu

Kewei Tu

...

2023/11/9

Improving Grammar-based Sequence-to-Sequence Modeling with Decomposition and Constraints

arXiv preprint arXiv:2306.02671

Chao Lou

Kewei Tu

2023/6/5

Graph propagation based data augmentation for named entity recognition

Jiong Cai

Shen Huang

Yong Jiang

Zeqi Tan

Pengjun Xie

...

2023/7

Joint Entity and Relation Extraction with Span Pruning and Hypergraph Neural Networks

arXiv preprint arXiv:2310.17238

Zhaohui Yan

Songlin Yang

Wei Liu

Kewei Tu

2023/10/26

See List of Professors in Kewei Tu University(Shanghai Tech University)

Co-Authors

H-index: 95
song-chun zhu

song-chun zhu

University of California, Los Angeles

H-index: 86
Yong Yu (俞勇)

Yong Yu (俞勇)

Shanghai Jiao Tong University

H-index: 12
Wenjuan Han

Wenjuan Han

National University of Singapore

H-index: 10
Xinyu Wang

Xinyu Wang

Shanghai Tech University

H-index: 5
Liwen Zhang

Liwen Zhang

Shanghai Tech University

H-index: 4
Chengyue Jiang

Chengyue Jiang

Shanghai Tech University

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