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:

Detecting Hallucinated Content in Conditional Neural Sequence Generation
Chunting Zhou, Graham Neubig, Jiatao Gu, et al.
(2021)
Open Access | Times Cited: 92

Showing 1-25 of 92 citing articles:

ChatGPT makes medicine easy to swallow: an exploratory case study on simplified radiology reports
Katharina Jeblick, Balthasar Schachtner, Jakob Dexl, et al.
European Radiology (2023) Vol. 34, Iss. 5, pp. 2817-2825
Open Access | Times Cited: 347

Retrieval Augmentation Reduces Hallucination in Conversation
Kurt Shuster, Spencer Poff, Moya Chen, et al.
(2021)
Open Access | Times Cited: 268

TruthfulQA: Measuring How Models Mimic Human Falsehoods
Stephanie Lin, Jacob Hilton, Owain Evans
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (2022)
Open Access | Times Cited: 195

A Culturally Sensitive Test to Evaluate Nuanced GPT Hallucination
Timothy R. McIntosh, Tong Liu, Teo Sušnjak, et al.
IEEE Transactions on Artificial Intelligence (2023) Vol. 5, Iss. 6, pp. 2739-2751
Closed Access | Times Cited: 105

Active Retrieval Augmented Generation
Zhengbao Jiang, Frank F. Xu, Luyu Gao, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023)
Open Access | Times Cited: 93

Generalized Out-of-Distribution Detection: A Survey
Jingkang Yang, Kaiyang Zhou, Yixuan Li, et al.
International Journal of Computer Vision (2024) Vol. 132, Iss. 12, pp. 5635-5662
Closed Access | Times Cited: 86

Large language models for diabetes care: Potentials and prospects
Bin Sheng, Zhouyu Guan, Lee‐Ling Lim, et al.
Science Bulletin (2024) Vol. 69, Iss. 5, pp. 583-588
Open Access | Times Cited: 22

Towards trustworthy LLMs: a review on debiasing and dehallucinating in large language models
Zichao Lin, Shuyan Guan, Wending Zhang, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 9
Open Access | Times Cited: 19

Hurdles to Progress in Long-form Question Answering
Kalpesh Krishna, Aurko Roy, Mohit Iyyer
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2021)
Open Access | Times Cited: 100

Measure and Improve Robustness in NLP Models: A Survey
Xuezhi Wang, Haohan Wang, Diyi Yang
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2022)
Open Access | Times Cited: 65

Hallucinated but Factual! Inspecting the Factuality of Hallucinations in Abstractive Summarization
Meng Cao, Yue Dong, Jackie Chi Kit Cheung
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (2022)
Open Access | Times Cited: 47

Faithful or Extractive? On Mitigating the Faithfulness-Abstractiveness Trade-off in Abstractive Summarization
Faisal Ladhak, Esin Durmus, He He, et al.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (2022), pp. 1410-1421
Open Access | Times Cited: 43

Exploring Human-Like Translation Strategy with Large Language Models
Zhiwei He, Tian Liang, Wenxiang Jiao, et al.
Transactions of the Association for Computational Linguistics (2024) Vol. 12, pp. 229-246
Open Access | Times Cited: 17

Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding
Sicong Leng, Hang Zhang, Guanzheng Chen, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. 35, pp. 13872-13882
Closed Access | Times Cited: 16

FIRE: Food Image to REcipe generation
Prateek Chhikara, Dhiraj Chaurasia, Yifan Jiang, et al.
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2024), pp. 8169-8179
Open Access | Times Cited: 10

Truth-O-Meter: Collaborating with LLM in fighting its hallucinations
Boris Galitsky
Elsevier eBooks (2025), pp. 175-210
Closed Access | Times Cited: 1

Compression, Transduction, and Creation: A Unified Framework for Evaluating Natural Language Generation
Mingkai Deng, Bowen Tan, Zhengzhong Liu, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2021)
Open Access | Times Cited: 43

TRUE: Re-evaluating Factual Consistency Evaluation
Or Honovich, Roee Aharoni, Jonathan Herzig, et al.
(2022), pp. 161-175
Open Access | Times Cited: 38

BART-IT: An Efficient Sequence-to-Sequence Model for Italian Text Summarization
Moreno La Quatra, Luca Cagliero
Future Internet (2022) Vol. 15, Iss. 1, pp. 15-15
Open Access | Times Cited: 35

A Token-level Reference-free Hallucination Detection Benchmark for Free-form Text Generation
Tianyu Liu, Yizhe Zhang, Chris Brockett, et al.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (2022)
Open Access | Times Cited: 29

Understanding and Detecting Hallucinations in Neural Machine Translation via Model Introspection
Weijia Xu, Sweta Agrawal, Eleftheria Briakou, et al.
Transactions of the Association for Computational Linguistics (2023) Vol. 11, pp. 546-564
Open Access | Times Cited: 23

Feasibility and acceptability of ChatGPT generated radiology report summaries for cancer patients
Eric M. Chung, Samuel C. Zhang, Anthony T. Nguyen, et al.
Digital Health (2023) Vol. 9
Open Access | Times Cited: 21

Evaluation of large language models performance against humans for summarizing MRI knee radiology reports: A feasibility study
Pilar López-Úbeda, Teodoro Martín‐Noguerol, Carolina Díaz-Angulo, et al.
International Journal of Medical Informatics (2024) Vol. 187, pp. 105443-105443
Closed Access | Times Cited: 8

Page 1 - Next Page

Scroll to top