Jingbo Shang

ORCID

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 218

Top Venues

Publications

Feng Yao, Yufan Zhuang, Zihao Sun, Sunan Xu, Animesh Kumar, Jingbo Shang
Data Contamination Can Cross Language Barriers. CoRR (2024)
Xiaochen Gao, Feng Yao, Kewen Zhao, Beilei He, Animesh Kumar, Vish Krishnan, Jingbo Shang
Beyond Scaling: Predicting Patent Approval with Domain-specific Fine-grained Claim Dependency Graph. CoRR (2024)
Letian Peng, Yi Gu, Chengyu Dong, Zihan Wang, Jingbo Shang
Text Grafting: Near-Distribution Weak Supervision for Minority Classes in Text Classification. CoRR (2024)
Letian Peng, Yuwei Zhang, Zilong Wang, Jayanth Srinivasa, Gaowen Liu, Zihan Wang, Jingbo Shang
Answer is All You Need: Instruction-following Text Embedding via Answering the Question. ACL (1) (2024)
Yongqi Tong, Dawei Li, Sizhe Wang, Yujia Wang, Fei Teng, Jingbo Shang
Can LLMs Learn from Previous Mistakes? Investigating LLMs' Errors to Boost for Reasoning. ACL (1) (2024)
Letian Peng, Zilong Wang, Feng Yao, Zihan Wang, Jingbo Shang
MetaIE: Distilling a Meta Model from LLM for All Kinds of Information Extraction Tasks. CoRR (2024)
Chenyang An, Zhibo Chen, Qihao Ye, Emily First, Letian Peng, Jiayun Zhang, Zihan Wang, Sorin Lerner, Jingbo Shang
Learn from Failure: Fine-tuning LLMs with Trial-and-Error Data for Intuitionistic Propositional Logic Proving. ACL (1) (2024)
Yongqi Tong, Dawei Li, Sizhe Wang, Yujia Wang, Fei Teng, Jingbo Shang
Can LLMs Learn from Previous Mistakes? Investigating LLMs' Errors to Boost for Reasoning. CoRR (2024)
William Hogan, Jingbo Shang
Entangled Relations: Leveraging NLI and Meta-analysis to Enhance Biomedical Relation Extraction. CoRR (2024)
Lily Zhong, Zilong Wang, Jingbo Shang
LDB: A Large Language Model Debugger via Verifying Runtime Execution Step-by-step. CoRR (2024)
Tao Zhang, Chenwei Zhang, Xian Li, Jingbo Shang, Hoang Nguyen, Philip S. Yu
Stronger, Lighter, Better: Towards Life-Long Attribute Value Extraction for E-Commerce Products. ACL (Findings) (2024)
Dawei Li, William Hogan, Jingbo Shang
READ: Improving Relation Extraction from an ADversarial Perspective. CoRR (2024)
Dheeraj Mekala, Alex Nguyen, Jingbo Shang
Smaller Language Models are capable of selecting Instruction-Tuning Training Data for Larger Language Models. ACL (Findings) (2024)
Xiaochen Gao, Feng Yao, Kewen Zhao, Beilei He, Animesh Kumar, Vish Krishnan, Jingbo Shang
Beyond Scaling: Predicting Patent Approval with Domain-specific Fine-grained Claim Dependency Graph. ACL (1) (2024)
Letian Peng, Jingbo Shang
Quantifying and Optimizing Global Faithfulness in Persona-driven Role-playing. CoRR (2024)
Zilong Wang, Yuedong Cui, Li Zhong, Zimin Zhang, Da Yin, Bill Yuchen Lin, Jingbo Shang
OfficeBench: Benchmarking Language Agents across Multiple Applications for Office Automation. CoRR (2024)
Niraj Yagnik, Jay Jhaveri, Vivek Sharma, Gabriel Pila, Asma Ben, Jingbo Shang
MedLM: Exploring Language Models for Medical Question Answering Systems. CoRR (2024)
Chengyu Dong, Liyuan Liu, Jingbo Shang
Toward Student-oriented Teacher Network Training for Knowledge Distillation. ICLR (2024)
Dheeraj Mekala, Alex Nguyen, Jingbo Shang
Smaller Language Models are capable of selecting Instruction-Tuning Training Data for Larger Language Models. CoRR (2024)
Prashant Krishnan, Zilong Wang, Yangkun Wang, Jingbo Shang
Towards Few-shot Entity Recognition in Document Images: A Graph Neural Network Approach Robust to Image Manipulation. LREC/COLING (2024)
Zilong Wang, Zifeng Wang, Long T. Le, Huaixiu Steven Zheng, Swaroop Mishra, Vincent Perot, Yuwei Zhang, Anush Mattapalli, Ankur Taly, Jingbo Shang, Chen-Yu Lee, Tomas Pfister
Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting. CoRR (2024)
Alex Nguyen, Zilong Wang, Jingbo Shang, Dheeraj Mekala
DOCMASTER: A Unified Platform for Annotation, Training, & Inference in Document Question-Answering. CoRR (2024)
Alex Nguyen, Dheeraj Mekala, Chengyu Dong, Jingbo Shang
When is the consistent prediction likely to be a correct prediction? CoRR (2024)
Dheeraj Mekala, Jason Weston, Jack Lanchantin, Roberta Raileanu, Maria Lomeli, Jingbo Shang, Jane Dwivedi-Yu
TOOLVERIFIER: Generalization to New Tools via Self-Verification. CoRR (2024)
Letian Peng, Jingbo Shang
Incubating Text Classifiers Following User Instruction with Nothing but LLM. CoRR (2024)
Shang Zhou, Feng Yao, Chengyu Dong, Zihan Wang, Jingbo Shang
Evaluating the Smooth Control of Attribute Intensity in Text Generation with LLMs. CoRR (2024)
Li Zhong, Zilong Wang, Jingbo Shang
Debug like a Human: A Large Language Model Debugger via Verifying Runtime Execution Step by Step. ACL (Findings) (2024)
Yongqi Tong, Sizhe Wang, Dawei Li, Yifan Wang, Simeng Han, Zi Lin, Chengsong Huang, Jiaxin Huang, Jingbo Shang
Optimizing Language Model's Reasoning Abilities with Weak Supervision. CoRR (2024)
Xintong Li, Jinya Jiang, Ria Dharmani, Jayanth Srinivasa, Gaowen Liu, Jingbo Shang
Open-world Multi-label Text Classification with Extremely Weak Supervision. CoRR (2024)
Chengyu Dong, Liyuan Liu, Hao Cheng, Jingbo Shang, Jianfeng Gao, Xiaodong Liu
Fast-ELECTRA for Efficient Pre-training. ICLR (2024)
Shang Zhou, Feng Yao, Chengyu Dong, Zihan Wang, Jingbo Shang
Evaluating the Smooth Control of Attribute Intensity in Text Generation with LLMs. ACL (Findings) (2024)
Letian Peng, Yuwei Zhang, Jingbo Shang
Controllable Data Augmentation for Few-Shot Text Mining with Chain-of-Thought Attribute Manipulation. ACL (Findings) (2024)
Jingbo Shang, Zai Zheng, Xiang Ying, Felix Tao, Mindverse Team
AI-native Memory: A Pathway from LLMs Towards AGI. CoRR (2024)
Junda Wu, Xintong Li, Tong Yu, Yu Wang, Xiang Chen, Jiuxiang Gu, Lina Yao, Jingbo Shang, Julian J. McAuley
CoMMIT: Coordinated Instruction Tuning for Multimodal Large Language Models. CoRR (2024)
Zilong Wang, Hao Zhang, Chun-Liang Li, Julian Martin Eisenschlos, Vincent Perot, Zifeng Wang, Lesly Miculicich, Yasuhisa Fujii, Jingbo Shang, Chen-Yu Lee, Tomas Pfister
Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding. ICLR (2024)
Chenyang An, Zhibo Chen, Qihao Ye, Emily First, Letian Peng, Jiayun Zhang, Zihan Wang, Sorin Lerner, Jingbo Shang
Learn from Failure: Fine-Tuning LLMs with Trial-and-Error Data for Intuitionistic Propositional Logic Proving. CoRR (2024)
Letian Peng, Yuwei Zhang, Zilong Wang, Jayanth Srinivasa, Gaowen Liu, Zihan Wang, Jingbo Shang
Answer is All You Need: Instruction-following Text Embedding via Answering the Question. CoRR (2024)
Jiayun Zhang, Shuheng Li, Haiyu Huang, Zihan Wang, Xiaohan Fu, Dezhi Hong, Rajesh K. Gupta, Jingbo Shang
How Few Davids Improve One Goliath: Federated Learning in Resource-Skewed Edge Computing Environments. WWW (2024)
Yufan Zhuang, Liyuan Liu, Chandan Singh, Jingbo Shang, Jianfeng Gao
Learning a Decision Tree Algorithm with Transformers. CoRR (2024)
Yu Wang, Xiusi Chen, Jingbo Shang, Julian J. McAuley
MEMORYLLM: Towards Self-Updatable Large Language Models. CoRR (2024)
Xiyuan Zhang, Ranak Roy Chowdhury, Rajesh K. Gupta, Jingbo Shang
Large Language Models for Time Series: A Survey. CoRR (2024)
Zilong Wang, Hao Zhang, Chun-Liang Li, Julian Martin Eisenschlos, Vincent Perot, Zifeng Wang, Lesly Miculicich, Yasuhisa Fujii, Jingbo Shang, Chen-Yu Lee, Tomas Pfister
Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding. CoRR (2024)
Zihan Wang, Yunxuan Li, Yuexin Wu, Liangchen Luo, Le Hou, Hongkun Yu, Jingbo Shang
Multi-step Problem Solving Through a Verifier: An Empirical Analysis on Model-induced Process Supervision. CoRR (2024)
Letian Peng, Zihan Wang, Jingbo Shang
Less than One-shot: Named Entity Recognition via Extremely Weak Supervision. EMNLP (Findings) (2023)
Hejie Cui, Rongmei Lin, Nasser Zalmout, Chenwei Zhang, Jingbo Shang, Carl Yang, Xian Li
PV2TEA: Patching Visual Modality to Textual-Established Information Extraction. CoRR (2023)
William Hogan, Jiacheng Li, Jingbo Shang
Open-world Semi-supervised Generalized Relation Discovery Aligned in a Real-world Setting. EMNLP (2023)
Prashant Krishnan, Zilong Wang, Yangkun Wang, Jingbo Shang
Towards Few-shot Entity Recognition in Document Images: A Graph Neural Network Approach Robust to Image Manipulation. CoRR (2023)
Xiyuan Zhang, Ranak Roy Chowdhury, Jiayun Zhang, Dezhi Hong, Rajesh K. Gupta, Jingbo Shang
Unleashing the Power of Shared Label Structures for Human Activity Recognition. CIKM (2023)
Xiyuan Zhang, Xiaohan Fu, Diyan Teng, Chengyu Dong, Keerthivasan Vijayakumar, Jiayun Zhang, Ranak Roy Chowdhury, Junsheng Han, Dezhi Hong, Rashmi Kulkarni, Jingbo Shang, Rajesh Gupta
Physics-Informed Data Denoising for Real-Life Sensing Systems. CoRR (2023)
Chengyu Dong, Zihan Wang, Jingbo Shang
Debiasing Made State-of-the-art: Revisiting the Simple Seed-based Weak Supervision for Text Classification. CoRR (2023)
Dheeraj Mekala, Adithya Samavedhi, Chengyu Dong, Jingbo Shang
SELFOOD: Self-Supervised Out-Of-Distribution Detection via Learning to Rank. EMNLP (Findings) (2023)
Jiayun Zhang, Xinyang Zhang, Dezhi Hong, Rajesh K. Gupta, Jingbo Shang
Minimally Supervised Contextual Inference from Human Mobility: An Iterative Collaborative Distillation Framework. IJCAI (2023)
Zi Lin, Du Phan, Panupong Pasupat, Jeremiah Zhe Liu, Jingbo Shang
On Compositional Uncertainty Quantification for Seq2seq Graph Parsing. ICLR (2023)
Zihan Wang, Tianle Wang, Dheeraj Mekala, Jingbo Shang
A Benchmark on Extremely Weakly Supervised Text Classification: Reconcile Seed Matching and Prompting Approaches. ACL (Findings) (2023)
Zi Lin, Zihan Wang, Yongqi Tong, Yangkun Wang, Yuxin Guo, Yujia Wang, Jingbo Shang
ToxicChat: Unveiling Hidden Challenges of Toxicity Detection in Real-World User-AI Conversation. EMNLP (Findings) (2023)
Chengyu Dong, Liyuan Liu, Hao Cheng, Jingbo Shang, Jianfeng Gao, Xiaodong Liu
Fast-ELECTRA for Efficient Pre-training. CoRR (2023)
Zijie Huang, Daheng Wang, Binxuan Huang, Chenwei Zhang, Jingbo Shang, Yan Liang, Zhengyang Wang, Xian Li, Christos Faloutsos, Yizhou Sun, Wei Wang
Concept2Box: Joint Geometric Embeddings for Learning Two-View Knowledge Graphs. ACL (Findings) (2023)
Liyan Xu, Chenwei Zhang, Xian Li, Jingbo Shang, Jinho D. Choi
Towards Open-World Product Attribute Mining: A Lightly-Supervised Approach. CoRR (2023)
Tianle Wang, Zihan Wang, Weitang Liu, Jingbo Shang
WOT-Class: Weakly Supervised Open-world Text Classification. CoRR (2023)
Letian Peng, Zihan Wang, Jingbo Shang
Less than One-shot: Named Entity Recognition via Extremely Weak Supervision. CoRR (2023)
Hejie Cui, Rongmei Lin, Nasser Zalmout, Chenwei Zhang, Jingbo Shang, Carl Yang, Xian Li
PV2TEA: Patching Visual Modality to Textual-Established Information Extraction. ACL (Findings) (2023)
Jiacheng Li, Ming Wang, Jin Li, Jinmiao Fu, Xin Shen, Jingbo Shang, Julian J. McAuley
Text Is All You Need: Learning Language Representations for Sequential Recommendation. KDD (2023)
Tianle Wang, Zihan Wang, Weitang Liu, Jingbo Shang
WOT-Class: Weakly Supervised Open-world Text Classification. CIKM (2023)
Yufan Zhuang, Zihan Wang, Fangbo Tao, Jingbo Shang
WavSpA: Wavelet Space Attention for Boosting Transformers' Long Sequence Learning Ability. UniReps (2023)
Xiyuan Zhang, Xiaohan Fu, Diyan Teng, Chengyu Dong, Keerthivasan Vijayakumar, Jiayun Zhang, Ranak Roy Chowdhury, Junsheng Han, Dezhi Hong, Rashmi Kulkarni, Jingbo Shang, Rajesh K. Gupta
Physics-Informed Data Denoising for Real-Life Sensing Systems. SenSys (2023)
Jiacheng Li, Zhankui He, Jingbo Shang, Julian J. McAuley
UCEpic: Unifying Aspect Planning and Lexical Constraints for Generating Explanations in Recommendation. KDD (2023)
William Hogan, Jiacheng Li, Jingbo Shang
Open-world Semi-supervised Generalized Relation Discovery Aligned in a Real-world Setting. CoRR (2023)
Chengyu Dong, Zihan Wang, Jingbo Shang
Debiasing Made State-of-the-art: Revisiting the Simple Seed-based Weak Supervision for Text Classification. EMNLP (2023)
Jiacheng Li, Ming Wang, Jin Li, Jinmiao Fu, Xin Shen, Jingbo Shang, Julian J. McAuley
Text Is All You Need: Learning Language Representations for Sequential Recommendation. CoRR (2023)
Weitang Liu, Ying-Wai Li, Tianle Wang, Yi-Zhuang You, Jingbo Shang
OMNIINPUT: A Model-centric Evaluation Framework through Output Distribution. CoRR (2023)
Chengyu Dong, Liyuan Liu, Hao Cheng, Jingbo Shang, Jianfeng Gao, Xiaodong Liu
Understand and Modularize Generator Optimization in ELECTRA-style Pretraining. ICML (2023)
Yuwei Zhang, Zihan Wang, Jingbo Shang
ClusterLLM: Large Language Models as a Guide for Text Clustering. EMNLP (2023)
Zi Lin, Quan Yuan, Panupong Pasupat, Jeremiah Z. Liu, Jingbo Shang
Retrieval-Augmented Parsing for Complex Graphs by Exploiting Structure and Uncertainty. EMNLP (Findings) (2023)
Zihan Wang, Tianle Wang, Dheeraj Mekala, Jingbo Shang
A Benchmark on Extremely Weakly Supervised Text Classification: Reconcile Seed Matching and Prompting Approaches. CoRR (2023)
Xiyuan Zhang, Ranak Roy Chowdhury, Jingbo Shang, Rajesh Gupta, Dezhi Hong
Towards Diverse and Coherent Augmentation for Time-Series Forecasting. CoRR (2023)
An Yan, Yu Wang, Yiwu Zhong, Zexue He, Petros Karypis, Zihan Wang, Chengyu Dong, Amilcare Gentili, Chun-Nan Hsu, Jingbo Shang, Julian J. McAuley
Robust and Interpretable Medical Image Classifiers via Concept Bottleneck Models. CoRR (2023)
Liyan Xu, Chenwei Zhang, Xian Li, Jingbo Shang, Jinho D. Choi
Towards Open-World Product Attribute Mining: A Lightly-Supervised Approach. ACL (1) (2023)
Zilong Wang, Jingbo Shang
Towards Zero-shot Relation Extraction in Web Mining: A Multimodal Approach with Relative XML Path. EMNLP (Findings) (2023)
Zilong Wang, Jingbo Shang
Towards Zero-shot Relation Extraction in Web Mining: A Multimodal Approach with Relative XML Path. CoRR (2023)
An Yan, Yu Wang, Yiwu Zhong, Chengyu Dong, Zexue He, Yujie Lu, William Yang Wang, Jingbo Shang, Julian J. McAuley
Learning Concise and Descriptive Attributes for Visual Recognition. ICCV (2023)
Ranak Roy Chowdhury, Jiacheng Li, Xiyuan Zhang, Dezhi Hong, Rajesh K. Gupta, Jingbo Shang
PrimeNet: Pre-training for Irregular Multivariate Time Series. AAAI (2023)
Weitang Liu, Ying-Wai Li, Yi-Zhuang You, Jingbo Shang
Gradient-based Wang-Landau Algorithm: A Novel Sampler for Output Distribution of Neural Networks over the Input Space. CoRR (2023)
Jiayun Zhang, Xiyuan Zhang, Xinyang Zhang, Dezhi Hong, Rajesh K. Gupta, Jingbo Shang
Federated Learning with Client-Exclusive Classes. CoRR (2023)
An Yan, Yu Wang, Yiwu Zhong, Chengyu Dong, Zexue He, Yujie Lu, William Wang, Jingbo Shang, Julian J. McAuley
Learning Concise and Descriptive Attributes for Visual Recognition. CoRR (2023)
Zijie Huang, Daheng Wang, Binxuan Huang, Chenwei Zhang, Jingbo Shang, Yan Liang, Zhengyang Wang, Xian Li, Christos Faloutsos, Yizhou Sun, Wei Wang
Concept2Box: Joint Geometric Embeddings for Learning Two-View Knowledge Graphs. CoRR (2023)
Jiayun Zhang, Xiyuan Zhang, Xinyang Zhang, Dezhi Hong, Rajesh K. Gupta, Jingbo Shang
Navigating Alignment for Non-identical Client Class Sets: A Label Name-Anchored Federated Learning Framework. KDD (2023)
Letian Peng, Zilong Wang, Hang Liu, Zihan Wang, Jingbo Shang
EmojiLM: Modeling the New Emoji Language. CoRR (2023)
Yuwei Zhang, Zihan Wang, Jingbo Shang
ClusterLLM: Large Language Models as a Guide for Text Clustering. CoRR (2023)
Dheeraj Mekala, Adithya Samavedhi, Chengyu Dong, Jingbo Shang
SELFOOD: Self-Supervised Out-Of-Distribution Detection via Learning to Rank. CoRR (2023)
Zihan Wang, Jingbo Shang, Ruiqi Zhong
Goal-Driven Explainable Clustering via Language Descriptions. EMNLP (2023)
Xiyuan Zhang, Ranak Roy Chowdhury, Jingbo Shang, Rajesh K. Gupta, Dezhi Hong
Towards Diverse and Coherent Augmentation for Time-Series Forecasting. ICASSP (2023)
Zihan Wang, Jingbo Shang, Ruiqi Zhong
Goal-Driven Explainable Clustering via Language Descriptions. CoRR (2023)
Xiyuan Zhang, Ranak Roy Chowdhury, Dezhi Hong, Rajesh K. Gupta, Jingbo Shang
Modeling Label Semantics Improves Activity Recognition. CoRR (2023)
Letian Peng, Yuwei Zhang, Jingbo Shang
Generating Efficient Training Data via LLM-based Attribute Manipulation. CoRR (2023)
Dawei Li, Yaxuan Li, Dheeraj Mekala, Shuyao Li, Yulin Wang, Xueqi Wang, William Hogan, Jingbo Shang
DAIL: Data Augmentation for In-Context Learning via Self-Paraphrase. CoRR (2023)
Yongqi Tong, Yifan Wang, Dawei Li, Sizhe Wang, Zi Lin, Simeng Han, Jingbo Shang
Eliminating Reasoning via Inferring with Planning: A New Framework to Guide LLMs' Non-linear Thinking. CoRR (2023)
Weitang Liu, Yi-Zhuang You, Ying-Wai Li, Jingbo Shang
Gradient-based Wang-Landau Algorithm: A Novel Sampler for Output Distribution of Neural Networks over the Input Space. ICML (2023)
Zi Lin, Jeremiah Liu, Jingbo Shang
Neural-Symbolic Inference for Robust Autoregressive Graph Parsing via Compositional Uncertainty Quantification. CoRR (2023)
Liangchen Luo, Zi Lin, Yinxiao Liu, Lei Shu, Yun Zhu, Jingbo Shang, Lei Meng
Critique Ability of Large Language Models. CoRR (2023)
Zi Lin, Zihan Wang, Yongqi Tong, Yangkun Wang, Yuxin Guo, Yujia Wang, Jingbo Shang
ToxicChat: Unveiling Hidden Challenges of Toxicity Detection in Real-World User-AI Conversation. CoRR (2023)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jingbo Shang