Zihan Wang

According to our database, Zihan Wang authored at least 34 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Imprompter: Tricking LLM Agents into Improper Tool Use.

Xiaohan Fu, Shuheng Li, Zihan Wang, Yihao Liu, Rajesh K. Gupta, Taylor Berg-Kirkpatrick, Earlence Fernandes

CoRR, 2024

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

Letian Peng, Zilong Wang, Feng Yao, Zihan Wang, Jingbo Shang

CoRR, 2024

How Few Davids Improve One Goliath: Federated Learning in Resource-Skewed Edge Computing Environments.

Jiayun Zhang, Shuheng Li, Haiyu Huang, Zihan Wang, Xiaohan Fu, Dezhi Hong, Rajesh K. Gupta, Jingbo Shang

Proceedings of the ACM on Web Conference 2024, 2024

MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback.

Xingyao Wang, Zihan Wang, Jiateng Liu, Yangyi Chen, Lifan Yuan, Hao Peng, Heng Ji

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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

Zihan Wang, Yunxuan Li, Yuexin Wu, Liangchen Luo, Le Hou, Hongkun Yu, Jingbo Shang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Text Grafting: Near-Distribution Weak Supervision for Minority Classes in Text Classification.

Letian Peng, Yi Gu, Chengyu Dong, Zihan Wang, Jingbo Shang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Evaluating the Smooth Control of Attribute Intensity in Text Generation with LLMs.

Shang Zhou, Feng Yao, Chengyu Dong, Zihan Wang, Jingbo Shang

Proceedings of the Findings of the Association for Computational Linguistics, 2024

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

Letian Peng, Yuwei Zhang, Zilong Wang, Jayanth Srinivasa, Gaowen Liu, Zihan Wang, Jingbo Shang

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

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

Chenyang An, Zhibo Chen, Qihao Ye, Emily First, Letian Peng, Jiayun Zhang, Zihan Wang, Sorin Lerner, Jingbo Shang

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

EmojiLM: Modeling the New Emoji Language.

Letian Peng, Zilong Wang, Hang Liu, Zihan Wang, Jingbo Shang

CoRR, 2023

Misusing Tools in Large Language Models With Visual Adversarial Examples.

Xiaohan Fu, Zihan Wang, Shuheng Li, Rajesh K. Gupta, Niloofar Mireshghallah, Taylor Berg-Kirkpatrick, Earlence Fernandes

CoRR, 2023

Robust and Interpretable Medical Image Classifiers via Concept Bottleneck Models.

An Yan, Yu Wang, Yiwu Zhong, Zexue He, Petros Karypis, Zihan Wang, Chengyu Dong, Amilcare Gentili, Chun-Nan Hsu, Jingbo Shang, Julian J. McAuley

CoRR, 2023

WavSpA: Wavelet Space Attention for Boosting Transformers' Long Sequence Learning Ability.

Yufan Zhuang, Zihan Wang, Fangbo Tao, Jingbo Shang

Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, 2023

Goal-Driven Explainable Clustering via Language Descriptions.

Zihan Wang, Jingbo Shang, Ruiqi Zhong

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

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

Letian Peng, Zihan Wang, Jingbo Shang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

ToxicChat: Unveiling Hidden Challenges of Toxicity Detection in Real-World User-AI Conversation.

Zi Lin, Zihan Wang, Yongqi Tong, Yangkun Wang, Yuxin Guo, Yujia Wang, Jingbo Shang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

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

Chengyu Dong, Zihan Wang, Jingbo Shang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

ClusterLLM: Large Language Models as a Guide for Text Clustering.

Yuwei Zhang, Zihan Wang, Jingbo Shang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

WOT-Class: Weakly Supervised Open-world Text Classification.

Tianle Wang, Zihan Wang, Weitang Liu, Jingbo Shang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

A Benchmark on Extremely Weakly Supervised Text Classification: Reconcile Seed Matching and Prompting Approaches.

Zihan Wang, Tianle Wang, Dheeraj Mekala, Jingbo Shang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Waveformer: Linear-Time Attention with Forward and Backward Wavelet Transform.

Yufan Zhuang, Zihan Wang, Fangbo Tao, Jingbo Shang

CoRR, 2022

WeDef: Weakly Supervised Backdoor Defense for Text Classification.

Lesheng Jin, Zihan Wang, Jingbo Shang

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Formulating Few-shot Fine-tuning Towards Language Model Pre-training: A Pilot Study on Named Entity Recognition.

Zihan Wang, Kewen Zhao, Zilong Wang, Jingbo Shang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Learning Adaptive Axis Attentions in Fine-tuning: Beyond Fixed Sparse Attention Patterns.

Zihan Wang, Jiuxiang Gu, Jason Kuen, Handong Zhao, Vlad I. Morariu, Ruiyi Zhang, Ani Nenkova, Tong Sun, Jingbo Shang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

X-Class: Text Classification with Extremely Weak Supervision.

Zihan Wang, Dheeraj Mekala, Jingbo Shang

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

UCPhrase: Unsupervised Context-aware Quality Phrase Tagging.

Xiaotao Gu, Zihan Wang, Zhenyu Bi, Yu Meng, Liyuan Liu, Jiawei Han, Jingbo Shang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

"Average" Approximates "First Principal Component"? An Empirical Analysis on Representations from Neural Language Models.

Zihan Wang, Chengyu Dong, Jingbo Shang

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Unsupervised Word Embedding Learning by Incorporating Local and Global Contexts.

Yu Meng, Jiaxin Huang, Guangyuan Wang, Zihan Wang, Chao Zhang, Jiawei Han

Frontiers Big Data, 2020

Discriminative Topic Mining via Category-Name Guided Text Embedding.

Yu Meng, Jiaxin Huang, Guangyuan Wang, Zihan Wang, Chao Zhang, Yu Zhang, Jiawei Han

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Cross-Lingual Ability of Multilingual BERT: An Empirical Study.

Karthikeyan K, Zihan Wang, Stephen Mayhew, Dan Roth

Proceedings of the 8th International Conference on Learning Representations, 2020

Extending Multilingual BERT to Low-Resource Languages.

Zihan Wang, Karthikeyan K, Stephen Mayhew, Dan Roth

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2019

CatE: Category-Name GuidedWord Embedding.

Yu Meng, Jiaxin Huang, Guangyuan Wang, Zihan Wang, Chao Zhang, Jiawei Han

CoRR, 2019

Raw-to-End Name Entity Recognition in Social Media.

Liyuan Liu, Zihan Wang, Jingbo Shang, Dandong Yin, Heng Ji, Xiang Ren, Shaowen Wang, Jiawei Han

CoRR, 2019

CrossWeigh: Training Named Entity Tagger from Imperfect Annotations.

Zihan Wang, Jingbo Shang, Liyuan Liu, Lihao Lu, Jiacheng Liu, Jiawei Han

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019