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:
FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation
Sewon Min, Kalpesh Krishna, Xinxi Lyu, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023)
Open Access | Times Cited: 48
Sewon Min, Kalpesh Krishna, Xinxi Lyu, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023)
Open Access | Times Cited: 48
Showing 1-25 of 48 citing articles:
A Survey on Evaluation of Large Language Models
Yupeng Chang, Xu Wang, Jindong Wang, et al.
ACM Transactions on Intelligent Systems and Technology (2024) Vol. 15, Iss. 3, pp. 1-45
Open Access | Times Cited: 613
Yupeng Chang, Xu Wang, Jindong Wang, et al.
ACM Transactions on Intelligent Systems and Technology (2024) Vol. 15, Iss. 3, pp. 1-45
Open Access | Times Cited: 613
SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models
Potsawee Manakul, Adian Liusie, Mark Gales
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023)
Open Access | Times Cited: 114
Potsawee Manakul, Adian Liusie, Mark Gales
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023)
Open Access | Times Cited: 114
Large Legal Fictions: Profiling Legal Hallucinations in Large Language Models
Matthew Dahl, Varun Magesh, Mirac Suzgun, et al.
The Journal of Legal Analysis (2024) Vol. 16, Iss. 1, pp. 64-93
Open Access | Times Cited: 37
Matthew Dahl, Varun Magesh, Mirac Suzgun, et al.
The Journal of Legal Analysis (2024) Vol. 16, Iss. 1, pp. 64-93
Open Access | Times Cited: 37
Datasets for Large Language Models: A Comprehensive Survey
Yang Liu, Jiahuan Cao, Chongyu Liu, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 17
Yang Liu, Jiahuan Cao, Chongyu Liu, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 17
Automatically Correcting Large Language Models: Surveying the Landscape of Diverse Automated Correction Strategies
Liangming Pan, Michael Saxon, Wenda Xu, et al.
Transactions of the Association for Computational Linguistics (2024) Vol. 12, pp. 484-506
Open Access | Times Cited: 17
Liangming Pan, Michael Saxon, Wenda Xu, et al.
Transactions of the Association for Computational Linguistics (2024) Vol. 12, pp. 484-506
Open Access | Times Cited: 17
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: 13
Zichao Lin, Shuyan Guan, Wending Zhang, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 9
Open Access | Times Cited: 13
Factuality challenges in the era of large language models and opportunities for fact-checking
Isabelle Augenstein, Timothy Baldwin, Meeyoung Cha, et al.
Nature Machine Intelligence (2024) Vol. 6, Iss. 8, pp. 852-863
Closed Access | Times Cited: 13
Isabelle Augenstein, Timothy Baldwin, Meeyoung Cha, et al.
Nature Machine Intelligence (2024) Vol. 6, Iss. 8, pp. 852-863
Closed Access | Times Cited: 13
Use of Artificial Intelligence Chatbots in Interpretation of Pathology Reports
Eric Steimetz, Jeremy Minkowitz, Elmer Gabutan, et al.
JAMA Network Open (2024) Vol. 7, Iss. 5, pp. e2412767-e2412767
Open Access | Times Cited: 12
Eric Steimetz, Jeremy Minkowitz, Elmer Gabutan, et al.
JAMA Network Open (2024) Vol. 7, Iss. 5, pp. e2412767-e2412767
Open Access | Times Cited: 12
AI Agents Under Threat: A Survey of Key Security Challenges and Future Pathways
Zehang Deng, Yongjian Guo, Changzhou Han, et al.
ACM Computing Surveys (2025)
Open Access | Times Cited: 1
Zehang Deng, Yongjian Guo, Changzhou Han, et al.
ACM Computing Surveys (2025)
Open Access | Times Cited: 1
Retrieving Supporting Evidence for Generative Question Answering
Siqing Huo, Negar Arabzadeh, Charles L. A. Clarke
(2023)
Open Access | Times Cited: 14
Siqing Huo, Negar Arabzadeh, Charles L. A. Clarke
(2023)
Open Access | Times Cited: 14
Reading Subtext: Evaluating Large Language Models on Short Story Summarization with Writers
Melanie Subbiah, Sean Zhang, Lydia B. Chilton, et al.
Transactions of the Association for Computational Linguistics (2024) Vol. 12, pp. 1290-1310
Open Access | Times Cited: 5
Melanie Subbiah, Sean Zhang, Lydia B. Chilton, et al.
Transactions of the Association for Computational Linguistics (2024) Vol. 12, pp. 1290-1310
Open Access | Times Cited: 5
Fostering effective hybrid human-LLM reasoning and decision making
Andrea Passerini, Aryo Pradipta Gema, Pasquale Minervini, et al.
Frontiers in Artificial Intelligence (2025) Vol. 7
Open Access
Andrea Passerini, Aryo Pradipta Gema, Pasquale Minervini, et al.
Frontiers in Artificial Intelligence (2025) Vol. 7
Open Access
A Claim Decomposition Benchmark for Long-Form Answer Verification
Zhihao Zhang, Yixing Fan, Ruqing Zhang, et al.
Lecture notes in computer science (2025), pp. 41-53
Closed Access
Zhihao Zhang, Yixing Fan, Ruqing Zhang, et al.
Lecture notes in computer science (2025), pp. 41-53
Closed Access
HaluCheck: Explainable and verifiable automation for detecting hallucinations in LLM responses
Sangwoo Heo, Sungwook Son, Hyunwoo Park
Expert Systems with Applications (2025), pp. 126712-126712
Closed Access
Sangwoo Heo, Sungwook Son, Hyunwoo Park
Expert Systems with Applications (2025), pp. 126712-126712
Closed Access
Hallucination Detection in Foundation Models for Decision-Making: A Flexible Definition and Review of the State of the Art
Neeloy Chakraborty, Melkior Ornik, Katherine Driggs-Campbell
ACM Computing Surveys (2025) Vol. 57, Iss. 7, pp. 1-35
Open Access
Neeloy Chakraborty, Melkior Ornik, Katherine Driggs-Campbell
ACM Computing Surveys (2025) Vol. 57, Iss. 7, pp. 1-35
Open Access
Novice risk work: How juniors coaching seniors on emerging technologies such as generative AI can lead to learning failures
Katherine C. Kellogg, Hila Lifshitz, Steven Randazzo, et al.
Information and Organization (2025) Vol. 35, Iss. 1, pp. 100559-100559
Open Access
Katherine C. Kellogg, Hila Lifshitz, Steven Randazzo, et al.
Information and Organization (2025) Vol. 35, Iss. 1, pp. 100559-100559
Open Access
On the Trustworthiness Landscape of State-of-the-art Generative Models: A Survey and Outlook
Mingyuan Fan, Chengyu Wang, Cen Chen, et al.
International Journal of Computer Vision (2025)
Closed Access
Mingyuan Fan, Chengyu Wang, Cen Chen, et al.
International Journal of Computer Vision (2025)
Closed Access
Towards a holistic framework for multimodal LLM in 3D brain CT radiology report generation
Cheng-Yi Li, Kao-Jung Chang, Cheng-Fu Yang, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access
Cheng-Yi Li, Kao-Jung Chang, Cheng-Fu Yang, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access
Mitigating Multi-hop Hallucination in Large Language Models with Non-authoritative Knowledge Sources
Hongbang Yuan, Pengfei Cao, Zhuoran Jin, et al.
Communications in computer and information science (2025), pp. 227-239
Closed Access
Hongbang Yuan, Pengfei Cao, Zhuoran Jin, et al.
Communications in computer and information science (2025), pp. 227-239
Closed Access
Refinement and revision in academic Writing: Integrating multi-source knowledge and LLMs with delta feedback
Yongqiang Ma, Lizhi Qing, Yangyang Kang, et al.
Expert Systems with Applications (2025), pp. 127226-127226
Closed Access
Yongqiang Ma, Lizhi Qing, Yangyang Kang, et al.
Expert Systems with Applications (2025), pp. 127226-127226
Closed Access
Building Appropriate Mental Models: What Users Know and Want to Know about an Agentic AI Chatbot
Michelle Brachman, Siya Kunde, Sarah Miller, et al.
(2025), pp. 247-264
Closed Access
Michelle Brachman, Siya Kunde, Sarah Miller, et al.
(2025), pp. 247-264
Closed Access
Large Language Models' Ability to Assess Main Concepts in Story Retelling: A Proof-of-Concept Comparison of Human Versus Machine Ratings
Jacquie Kurland, Vishnupriya Varadharaju, Anna Liu, et al.
American Journal of Speech-Language Pathology (2025), pp. 1-11
Closed Access
Jacquie Kurland, Vishnupriya Varadharaju, Anna Liu, et al.
American Journal of Speech-Language Pathology (2025), pp. 1-11
Closed Access
WikiChat: Stopping the Hallucination of Large Language Model Chatbots by Few-Shot Grounding on Wikipedia
Sina J. Semnani, Violet Yao, Heidi Zhang, et al.
(2023)
Open Access | Times Cited: 11
Sina J. Semnani, Violet Yao, Heidi Zhang, et al.
(2023)
Open Access | Times Cited: 11
Retrieving Evidence from EHRs with LLMs: Possibilities and Challenges
Hiba Ahsan, Denis Jered McInerney, Jisoo Kim, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 9
Hiba Ahsan, Denis Jered McInerney, Jisoo Kim, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 9
Bias and Unfairness in Information Retrieval Systems: New Challenges in the LLM Era
Sunhao Dai, Xu Chen, Shicheng Xu, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 6437-6447
Open Access | Times Cited: 3
Sunhao Dai, Xu Chen, Shicheng Xu, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 6437-6447
Open Access | Times Cited: 3
