Jingbo Shang

Jingbo Shang

University of California, San Diego

H-index: 28

North America-United States

About Jingbo Shang

Jingbo Shang, With an exceptional h-index of 28 and a recent h-index of 27 (since 2020), a distinguished researcher at University of California, San Diego, specializes in the field of Natural Language Processing, Data Mining, Deep Learning, Information Extraction, Weak Supervision.

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

Chain-of-table: Evolving tables in the reasoning chain for table understanding

MetaIE: Distilling a Meta Model from LLM for All Kinds of Information Extraction Tasks

Smaller Language Models are capable of selecting Instruction-Tuning Training Data for Larger Language Models

Learning a Decision Tree Algorithm with Transformers

Can LLMs Learn from Previous Mistakes? Investigating LLMs' Errors to Boost for Reasoning

Answer is All You Need: Instruction-following Text Embedding via Answering the Question

LDB: A Large Language Model Debugger via Verifying Runtime Execution Step-by-step

Incubating Text Classifiers Following User Instruction with Nothing but LLM

Jingbo Shang Information

University

Position

Assistant Professor

Citations(all)

4017

Citations(since 2020)

3406

Cited By

1835

hIndex(all)

28

hIndex(since 2020)

27

i10Index(all)

49

i10Index(since 2020)

48

Email

University Profile Page

University of California, San Diego

Google Scholar

View Google Scholar Profile

Jingbo Shang Skills & Research Interests

Natural Language Processing

Data Mining

Deep Learning

Information Extraction

Weak Supervision

Top articles of Jingbo Shang

Title

Journal

Author(s)

Publication Date

Chain-of-table: Evolving tables in the reasoning chain for table understanding

arXiv preprint arXiv:2401.04398

Zilong Wang

Hao Zhang

Chun-Liang Li

Julian Martin Eisenschlos

Vincent Perot

...

2024/1/9

MetaIE: Distilling a Meta Model from LLM for All Kinds of Information Extraction Tasks

arXiv preprint arXiv:2404.00457

Letian Peng

Zilong Wang

Feng Yao

Zihan Wang

Jingbo Shang

2024/3/30

Smaller Language Models are capable of selecting Instruction-Tuning Training Data for Larger Language Models

arXiv preprint arXiv:2402.10430

Dheeraj Mekala

Alex Nguyen

Jingbo Shang

2024/2/16

Learning a Decision Tree Algorithm with Transformers

???????????? arXiv preprint

Yufan Zhuang

Liyuan Liu

Chandan Singh

Jingbo Shang

Jianfeng Gao

2024/2/6

Can LLMs Learn from Previous Mistakes? Investigating LLMs' Errors to Boost for Reasoning

arXiv preprint arXiv:2403.20046

Yongqi Tong

Dawei Li

Sizhe Wang

Yujia Wang

Fei Teng

...

2024/3/29

Answer is All You Need: Instruction-following Text Embedding via Answering the Question

arXiv preprint arXiv:2402.09642

Letian Peng

Yuwei Zhang

Zilong Wang

Jayanth Srinivasa

Gaowen Liu

...

2024/2/15

LDB: A Large Language Model Debugger via Verifying Runtime Execution Step-by-step

arXiv preprint arXiv:2402.16906

Li Zhong

Zilong Wang

Jingbo Shang

2024/2/25

Incubating Text Classifiers Following User Instruction with Nothing but LLM

arXiv preprint arXiv:2404.10877

Letian Peng

Jingbo Shang

2024/4/16

Multi-step Problem Solving Through a Verifier: An Empirical Analysis on Model-induced Process Supervision

arXiv preprint arXiv:2402.02658

Zihan Wang

Yunxuan Li

Yuexin Wu

Liangchen Luo

Le Hou

...

2024/2/5

Large Language Models for Time Series: A Survey

Xiyuan Zhang

Ranak Roy Chowdhury

Rajesh K Gupta

Jingbo Shang

2024/2/2

Learn from Failure: Fine-Tuning LLMs with Trial-and-Error Data for Intuitionistic Propositional Logic Proving

arXiv preprint arXiv:2404.07382

Chenyang An

Zhibo Chen

Qihao Ye

Emily First

Letian Peng

...

2024/4/10

MEMORYLLM: Towards Self-Updatable Large Language Models

arXiv preprint arXiv:2402.04624

Yu Wang

Xiusi Chen

Jingbo Shang

Julian McAuley

2024/2/7

MedLM: Exploring Language Models for Medical Question Answering Systems

arXiv preprint arXiv:2401.11389

Niraj Yagnik

Jay Jhaveri

Vivek Sharma

Gabriel Pila

Asma Ben

...

2024/1/21

READ: Improving Relation Extraction from an ADversarial Perspective

arXiv preprint arXiv:2404.02931

Dawei Li

William Hogan

Jingbo Shang

2024/4/2

TOOLVERIFIER: Generalization to New Tools via Self-Verification

arXiv preprint arXiv:2402.14158

Dheeraj Mekala

Jason Weston

Jack Lanchantin

Roberta Raileanu

Maria Lomeli

...

2024/2/21

Robust and interpretable medical image classifiers via concept bottleneck models

arXiv preprint arXiv:2310.03182

An Yan

Yu Wang

Yiwu Zhong

Zexue He

Petros Karypis

...

2023/10/4

Neural-Symbolic Inference for Robust Autoregressive Graph Parsing via Compositional Uncertainty Quantification

arXiv preprint arXiv:2301.11459

Zi Lin

Jeremiah Liu

Jingbo Shang

2023/1/26

Debiasing Made State-of-the-art: Revisiting the Simple Seed-based Weak Supervision for Text Classification

arXiv preprint arXiv:2305.14794

Chengyu Dong

Zihan Wang

Jingbo Shang

2023/5/24

Less than One-shot: Named Entity Recognition via Extremely Weak Supervision

arXiv preprint arXiv:2311.02861

Letian Peng

Zihan Wang

Jingbo Shang

2023/11/6

Concept2Box: Joint geometric embeddings for learning two-view knowledge graphs

arXiv preprint arXiv:2307.01933

Zijie Huang

Daheng Wang

Binxuan Huang

Chenwei Zhang

Jingbo Shang

...

2023/7/4

See List of Professors in Jingbo Shang University(University of California, San Diego)

Co-Authors

H-index: 202
Jiawei Han

Jiawei Han

University of Illinois at Urbana-Champaign

H-index: 86
Yong Yu (俞勇)

Yong Yu (俞勇)

Shanghai Jiao Tong University

H-index: 61
Jian Peng

Jian Peng

University of Illinois at Urbana-Champaign

H-index: 61
Xiang Ren

Xiang Ren

University of Southern California

H-index: 57
Po-Ru Loh

Po-Ru Loh

Harvard University

H-index: 42
Meng Jiang

Meng Jiang

University of Notre Dame

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