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Zihan Wang
ORCID
Publication Activity (10 Years)
Years Active: 2022-2024
Publications (10 Years): 20
Top Topics
Text Classification
Top Venues
CoRR
ACL (Findings)
ACL (1)
EMNLP
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Publications
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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)
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)
Xingyao Wang
,
Zihan Wang
,
Jiateng Liu
,
Yangyi Chen
,
Lifan Yuan
,
Hao Peng
,
Heng Ji
MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback.
ICLR
(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)
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)
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)
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)
Chengyu Dong
,
Zihan Wang
,
Jingbo Shang
Debiasing Made State-of-the-art: Revisiting the Simple Seed-based Weak Supervision for Text Classification.
CoRR
(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)
Tianle Wang
,
Zihan Wang
,
Weitang Liu
,
Jingbo Shang
WOT-Class: Weakly Supervised Open-world Text Classification.
CoRR
(2023)
Yufan Zhuang
,
Zihan Wang
,
Fangbo Tao
,
Jingbo Shang
WavSpA: Wavelet Space Attention for Boosting Transformers' Long Sequence Learning Ability.
UniReps
(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)
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)
Xingyao Wang
,
Zihan Wang
,
Jiateng Liu
,
Yangyi Chen
,
Lifan Yuan
,
Hao Peng
,
Heng Ji
MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback.
CoRR
(2023)
Zihan Wang
,
Jingbo Shang
,
Ruiqi Zhong
Goal-Driven Explainable Clustering via Language Descriptions.
CoRR
(2023)
Zihan Wang
,
Kewen Zhao
,
Zilong Wang
,
Jingbo Shang
Formulating Few-shot Fine-tuning Towards Language Model Pre-training: A Pilot Study on Named Entity Recognition.
EMNLP (Findings)
(2022)
Lesheng Jin
,
Zihan Wang
,
Jingbo Shang
WeDef: Weakly Supervised Backdoor Defense for Text Classification.
EMNLP
(2022)