Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Prompt-learning for Fine-grained Entity Typing
Ning Ding, Yulin Chen, Xu Han, et al.
(2022)
Open Access | Times Cited: 77

Showing 1-25 of 77 citing articles:

PTR: Prompt Tuning with Rules for Text Classification
Xu Han, Weilin Zhao, Ning Ding, et al.
AI Open (2022) Vol. 3, pp. 182-192
Open Access | Times Cited: 362
KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction
Xiang Chen, Ningyu Zhang, Xin Xie, et al.
Proceedings of the ACM Web Conference 2022 (2022), pp. 2778-2788
Open Access | Times Cited: 282
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks
Xiao Liu, Kaixuan Ji, Yicheng Fu, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 246
Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners
Ningyu Zhang, Luoqiu Li, Xiang Chen, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 65
Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NER
Dong‐Ho Lee, Akshen Kadakia, Kangmin Tan, et al.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (2022)
Open Access | Times Cited: 54
Prompt-Learning for Short Text Classification
Yi Zhu, Ye Wang, Jipeng Qiang, et al.
IEEE Transactions on Knowledge and Data Engineering (2023) Vol. 36, Iss. 10, pp. 5328-5339
Open Access | Times Cited: 33
Short text classification with Soft Knowledgeable Prompt-tuning
Yi Zhu, Ye Wang, Jianyuan Mu, et al.
Expert Systems with Applications (2024) Vol. 246, pp. 123248-123248
Closed Access | Times Cited: 9
SentiPrompt: Sentiment Knowledge Enhanced Prompt-Tuning for Aspect-Based Sentiment Analysis
Chengxi Li, Feiyu Gao, Jiajun Bu, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 49
Ultra-fine Entity Typing with Indirect Supervision from Natural Language Inference
Bangzheng Li, Wenpeng Yin, Muhao Chen
Transactions of the Association for Computational Linguistics (2022) Vol. 10, pp. 607-622
Open Access | Times Cited: 32
KEPT: Knowledge Enhanced Prompt Tuning for event causality identification
Jin‐Tao Liu, Zequn Zhang, Zhi Guo, et al.
Knowledge-Based Systems (2022) Vol. 259, pp. 110064-110064
Closed Access | Times Cited: 31
Efficient utilization of pre-trained models: A review of sentiment analysis via prompt learning
Kun Bu, Yuanchao Liu, Xiaolong Ju
Knowledge-Based Systems (2023) Vol. 283, pp. 111148-111148
Closed Access | Times Cited: 22
CAT-MNER: Multimodal Named Entity Recognition with Knowledge-Refined Cross-Modal Attention
Xuwu Wang, Jiabo Ye, Zhixu Li, et al.
2022 IEEE International Conference on Multimedia and Expo (ICME) (2022)
Closed Access | Times Cited: 27
LFPT5: A Unified Framework for Lifelong Few-shot Language Learning Based on Prompt Tuning of T5
Chengwei Qin, Shafiq Joty
arXiv (Cornell University) (2021)
Open Access | Times Cited: 30
Be flexible! learn to debias by sampling and prompting for robust visual question answering
Jin Liu, ChongFeng Fan, Fengyu Zhou, et al.
Information Processing & Management (2023) Vol. 60, Iss. 3, pp. 103296-103296
Closed Access | Times Cited: 12
LightNER: A Lightweight Generative Framework with Prompt-guided Attention for Low-resource NER
Xiang Chen, Ningyu Zhang, Lei Li, et al.
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 24
A prefix and attention map discrimination fusion guided attention for biomedical named entity recognition
Zhengyi Guan, Xiaobing Zhou
BMC Bioinformatics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 10
PLPMpro: Enhancing promoter sequence prediction with prompt-learning based pre-trained language model
Zhongshen Li, Junru Jin, Wentao Long, et al.
Computers in Biology and Medicine (2023) Vol. 164, pp. 107260-107260
Closed Access | Times Cited: 10
Prompt4LJP: prompt learning for legal judgment prediction
Qian Huang, Yuhan Xia, Yunfei Long, et al.
The Journal of Supercomputing (2025) Vol. 81, Iss. 2
Closed Access
Combining the Pre-Trained Model Roberta with a Two-Layer Bidirectional Long- and Short-Term Memory Network and a Multi-Head Attention Mechanism for a Rice Phenomics Entity Classification Study
Dayu Xu, Xinyu Zhu, Xuyao Zhang, et al.
AgriEngineering (2025) Vol. 7, Iss. 4, pp. 94-94
Open Access
Rumor detection for emergency events via few-shot ensembled prompt learning
Chen Su, Junkang Zhou, Zhentao Jiang, et al.
Journal of Intelligent Information Systems (2025)
Closed Access
Generation-Based Few-Shot BioNER via Local Knowledge Index and Dual Prompts
Weixin Li, Hong Wang, Wei Li, et al.
Interdisciplinary Sciences Computational Life Sciences (2025)
Closed Access
End-to-end Chinese clinical event extraction based on large language model
Bo An, Haitao Zhang, Longlong Ma, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
APRE: Annotation-Aware Prompt-Tuning for Relation Extraction
Chao Wei, Yanping Chen, Kai Wang, et al.
Neural Processing Letters (2024) Vol. 56, Iss. 2
Open Access | Times Cited: 3
ClinLinker: Medical Entity Linking of Clinical Concept Mentions in Spanish
Fernando Gallego, Guillermo López-García, Luis Gascó, et al.
Lecture notes in computer science (2024), pp. 266-280
Closed Access | Times Cited: 3
Exploring Low-dimensional Intrinsic Task Subspace via Prompt Tuning.
Yujia Qin, Xiaozhi Wang, Yusheng Su, et al.
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 20
Page 1 - Next Page

Scroll to top