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:
Neural Path Hunter: Reducing Hallucination in Dialogue Systems via Path Grounding
Nouha Dziri, Andrea Madotto, Osmar R. Zäıane, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2021)
Open Access | Times Cited: 55
Nouha Dziri, Andrea Madotto, Osmar R. Zäıane, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2021)
Open Access | Times Cited: 55
Showing 1-25 of 55 citing articles:
Survey of Hallucination in Natural Language Generation
Ziwei Ji, Nayeon Lee, Rita Frieske, et al.
ACM Computing Surveys (2022) Vol. 55, Iss. 12, pp. 1-38
Open Access | Times Cited: 1327
Ziwei Ji, Nayeon Lee, Rita Frieske, et al.
ACM Computing Surveys (2022) Vol. 55, Iss. 12, pp. 1-38
Open Access | Times Cited: 1327
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: 102
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: 102
HaluEval: A Large-Scale Hallucination Evaluation Benchmark for Large Language Models
Junyi Li, Xiaoxue Cheng, Xin Zhao, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023)
Open Access | Times Cited: 89
Junyi Li, Xiaoxue Cheng, Xin Zhao, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023)
Open Access | Times Cited: 89
On the Origin of Hallucinations in Conversational Models: Is it the Datasets or the Models?
Nouha Dziri, Sivan Milton, Mo Yu, et al.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2022)
Open Access | Times Cited: 77
Nouha Dziri, Sivan Milton, Mo Yu, et al.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2022)
Open Access | Times Cited: 77
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
DialFact: A Benchmark for Fact-Checking in Dialogue
Prakhar Gupta, Chien-Sheng Wu, Wenhao Liu, et al.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (2022)
Open Access | Times Cited: 37
Prakhar Gupta, Chien-Sheng Wu, Wenhao Liu, et al.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (2022)
Open Access | Times Cited: 37
Contrastive Learning Reduces Hallucination in Conversations
Weiwei Sun, Zhengliang Shi, Shen Gao, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 11, pp. 13618-13626
Open Access | Times Cited: 28
Weiwei Sun, Zhengliang Shi, Shen Gao, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 11, pp. 13618-13626
Open Access | Times Cited: 28
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
Few-Shot Bot: Prompt-Based Learning for Dialogue Systems
Andrea Madotto, Zhaojiang Lin, Genta Indra Winata, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 43
Andrea Madotto, Zhaojiang Lin, Genta Indra Winata, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 43
Evaluating Attribution in Dialogue Systems: The BEGIN Benchmark
Nouha Dziri, Hannah Rashkin, Tal Linzen, et al.
Transactions of the Association for Computational Linguistics (2022) Vol. 10, pp. 1066-1083
Open Access | Times Cited: 30
Nouha Dziri, Hannah Rashkin, Tal Linzen, et al.
Transactions of the Association for Computational Linguistics (2022) Vol. 10, pp. 1066-1083
Open Access | Times Cited: 30
Retrieving Multimodal Information for Augmented Generation: A Survey
R. P. Zhao, Hailin Chen, Weishi Wang, et al.
(2023)
Open Access | Times Cited: 21
R. P. Zhao, Hailin Chen, Weishi Wang, et al.
(2023)
Open Access | Times Cited: 21
Plausible May Not Be Faithful: Probing Object Hallucination in Vision-Language Pre-training
Wenliang Dai, Zihan Liu, Ziwei Ji, et al.
(2023)
Open Access | Times Cited: 20
Wenliang Dai, Zihan Liu, Ziwei Ji, et al.
(2023)
Open Access | Times Cited: 20
Between Reality and Delusion: Challenges of Applying Large Language Models to Companion Robots for Open-Domain Dialogues with Older Adults
Bahar Irfan, Sanna‐Mari Kuoppamäki, Gabriel Skantze
Research Square (Research Square) (2023)
Open Access | Times Cited: 17
Bahar Irfan, Sanna‐Mari Kuoppamäki, Gabriel Skantze
Research Square (Research Square) (2023)
Open Access | Times Cited: 17
RHO: Reducing Hallucination in Open-domain Dialogues with Knowledge Grounding
Ziwei Ji, Zihan Liu, Nayeon Lee, et al.
Findings of the Association for Computational Linguistics: ACL 2022 (2023)
Open Access | Times Cited: 14
Ziwei Ji, Zihan Liu, Nayeon Lee, et al.
Findings of the Association for Computational Linguistics: ACL 2022 (2023)
Open Access | Times Cited: 14
Automatic Evaluation of Attribution by Large Language Models
Xiang Yue, Boshi Wang, Ziru Chen, et al.
(2023)
Open Access | Times Cited: 14
Xiang Yue, Boshi Wang, Ziru Chen, et al.
(2023)
Open Access | Times Cited: 14
Between reality and delusion: challenges of applying large language models to companion robots for open-domain dialogues with older adults
Bahar Irfan, Sanna Kuoppamäki, Aida Hosseini, et al.
Autonomous Robots (2025) Vol. 49, Iss. 1
Open Access
Bahar Irfan, Sanna Kuoppamäki, Aida Hosseini, et al.
Autonomous Robots (2025) Vol. 49, Iss. 1
Open Access
Open-domain Dialogue Generation: What We Can Do, Cannot Do, And Should Do Next
Katharina Kann, Abteen Ebrahimi, Joewie J. Koh, et al.
(2022)
Open Access | Times Cited: 18
Katharina Kann, Abteen Ebrahimi, Joewie J. Koh, et al.
(2022)
Open Access | Times Cited: 18
Analysing Utterances in LLM-Based User Simulation for Conversational Search
Ivan Sekulić, Mohammad Alinannejadi, Fábio Crestani
ACM Transactions on Intelligent Systems and Technology (2024) Vol. 15, Iss. 3, pp. 1-22
Open Access | Times Cited: 3
Ivan Sekulić, Mohammad Alinannejadi, Fábio Crestani
ACM Transactions on Intelligent Systems and Technology (2024) Vol. 15, Iss. 3, pp. 1-22
Open Access | Times Cited: 3
Nouha Dziri, Ehsan Kamalloo, Sivan Milton, et al.
Transactions of the Association for Computational Linguistics (2022) Vol. 10, pp. 1473-1490
Open Access | Times Cited: 14
ChatGPT Incorrectness Detection in Software Reviews
Minaoar Hossain Tanzil, Junaed Younus Khan, Gias Uddin
(2024), pp. 1-12
Open Access | Times Cited: 2
Minaoar Hossain Tanzil, Junaed Younus Khan, Gias Uddin
(2024), pp. 1-12
Open Access | Times Cited: 2
Understanding Large Language Models : Towards Rigorous and Targeted Interpretability Using Probing Classifiers and Self-Rationalisation
Jenny Kunz
Linköping studies in science and technology. Dissertations (2024)
Open Access | Times Cited: 2
Jenny Kunz
Linköping studies in science and technology. Dissertations (2024)
Open Access | Times Cited: 2
ThinkSum: Probabilistic reasoning over sets using large language models
Batu Ozturkler, Nikolay Malkin, Zhen Wang, et al.
(2023), pp. 1216-1239
Open Access | Times Cited: 6
Batu Ozturkler, Nikolay Malkin, Zhen Wang, et al.
(2023), pp. 1216-1239
Open Access | Times Cited: 6
Challenges in Domain-Specific Abstractive Summarization and How to Overcome Them
Anum Afzal, Juraj Vladika, Daniel Braun, et al.
Proceedings of the 14th International Conference on Agents and Artificial Intelligence (2023), pp. 682-689
Open Access | Times Cited: 5
Anum Afzal, Juraj Vladika, Daniel Braun, et al.
Proceedings of the 14th International Conference on Agents and Artificial Intelligence (2023), pp. 682-689
Open Access | Times Cited: 5
Event Transition Planning for Open-ended Text Generation
Qintong Li, Piji Li, Wei Bi, et al.
Findings of the Association for Computational Linguistics: ACL 2022 (2022), pp. 3412-3426
Open Access | Times Cited: 8
Qintong Li, Piji Li, Wei Bi, et al.
Findings of the Association for Computational Linguistics: ACL 2022 (2022), pp. 3412-3426
Open Access | Times Cited: 8
Eliciting Knowledge from Large Pre-Trained Models for Unsupervised Knowledge-Grounded Conversation
Yanyang Li, Jianqiao Zhao, Michael R. Lyu, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2022), pp. 10551-10564
Open Access | Times Cited: 8
Yanyang Li, Jianqiao Zhao, Michael R. Lyu, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2022), pp. 10551-10564
Open Access | Times Cited: 8
