Hallucination (artificial intelligence) (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Hallucination (artificial intelligence)" in English language version.

refsWebsite

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18doi.org

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16arxiv.org

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10nih.gov

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9worldcat.org

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7semanticscholar.org

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6arstechnica.com

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6aclanthology.org

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4cnbc.com

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3nytimes.com

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2slate.com

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2theverge.com

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1psypost.org

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1deepmind.com

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1merriam-webster.com

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1acm.org

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1mit.edu

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1research.google

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1meta.com

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1zdnet.com

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1theguardian.com

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1northeastern.edu

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1mlr.press

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1berkeley.edu

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1web.archive.org

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1latent.space

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1npr.org

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1cbc.ca

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1discovermagazine.com

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1fastcompany.com

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1hbr.org

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1substack.com

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1reuters.com

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1cnn.com

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1uscourts.gov

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1nature.com

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1harvard.edu

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1salon.com

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1distill.pub

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1x.com

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1blog.google

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1washingtonpost.com

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1philarchive.org

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1github.com

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1aimon.ai

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aclanthology.org

Joshua Maynez; Shashi Narayan; Bernd Bohnet; Ryan McDonald (2020). "On Faithfulness and Factuality in Abstractive Summarization". Proceedings of The 58th Annual Meeting of the Association for Computational Linguistics (ACL) (2020). arXiv:2005.00661. Retrieved 26 September 2023.
Ji, Ziwei; Yu, Tiezheng; Xu, Yan; lee, Nayeon (2023). Towards Mitigating Hallucination in Large Language Models via Self-Reflection. EMNLP Findings.
Nie, Feng; Yao, Jin-Ge; Wang, Jinpeng; Pan, Rong; Lin, Chin-Yew (July 2019). "A Simple Recipe towards Reducing Hallucination in Neural Surface Realisation" (PDF). Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics: 2673–2679. doi:10.18653/v1/P19-1256. S2CID 196183567. Retrieved 15 January 2023.
Dziri, Nouha; Milton, Sivan; Yu, Mo; Zaiane, Osmar; Reddy, Siva (July 2022). "On the Origin of Hallucinations in Conversational Models: Is it the Datasets or the Models?" (PDF). Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. Association for Computational Linguistics. pp. 5271–5285. doi:10.18653/v1/2022.naacl-main.387. S2CID 250242329. Retrieved 15 January 2023.
Rashkin, Hannah; Reitter, David; Tomar, Gaurav Singh; Das, Dipanjan (2021). "Increasing faithfulness in knowledge-grounded dialogue with controllable features" (PDF). Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing.
Zhao, Zheng; Cohen, Shay B; Webber, Cohen Bonnie (2020). "Reducing Quantity Hallucinations in Abstractive Summarization" (PDF). Findings of the Association for Computational Linguistics: EMNLP 2020.

acm.org

dl.acm.org

Ji, Ziwei; Lee, Nayeon; Frieske, Rita; Yu, Tiezheng; Su, Dan; Xu, Yan; Ishii, Etsuko; Bang, Yejin; Dai, Wenliang; Madotto, Andrea; Fung, Pascale (November 2022). "Survey of Hallucination in Natural Language Generation" (pdf). ACM Computing Surveys. 55 (12). Association for Computing Machinery: 1–38. arXiv:2202.03629. doi:10.1145/3571730. S2CID 246652372. Retrieved 15 January 2023.

aimon.ai

Aimon, aimonlabs, 8 May 2024, retrieved 9 May 2024

arstechnica.com

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arxiv.org

Joshua Maynez; Shashi Narayan; Bernd Bohnet; Ryan McDonald (2020). "On Faithfulness and Factuality in Abstractive Summarization". Proceedings of The 58th Annual Meeting of the Association for Computational Linguistics (ACL) (2020). arXiv:2005.00661. Retrieved 26 September 2023.
Ji, Ziwei; Lee, Nayeon; Frieske, Rita; Yu, Tiezheng; Su, Dan; Xu, Yan; Ishii, Etsuko; Bang, Yejin; Dai, Wenliang; Madotto, Andrea; Fung, Pascale (November 2022). "Survey of Hallucination in Natural Language Generation" (pdf). ACM Computing Surveys. 55 (12). Association for Computing Machinery: 1–38. arXiv:2202.03629. doi:10.1145/3571730. S2CID 246652372. Retrieved 15 January 2023.
de Wynter, Adrian; Wang, Xun; Sokolov, Alex; Gu, Qilong; Chen, Si-Qing (13 July 2023). "An evaluation on large language model outputs: Discourse and memorization". Natural Language Processing Journal. 4. arXiv:2304.08637. doi:10.1016/j.nlp.2023.100024. ISSN 2949-7191.
"AI Hallucinations: A Misnomer Worth Clarifying". arxiv.org. Retrieved 2 April 2024.
Zhuo, Terry Yue; Huang, Yujin; Chen, Chunyang; Xing, Zhenchang (2023). "Exploring AI Ethics of ChatGPT: A Diagnostic Analysis". arXiv:2301.12867 [cs.CL].
Tonmoy, S. M. Towhidul Islam; Zaman, S. M. Mehedi; Jain, Vinija; Rani, Anku; Rawte, Vipula; Chadha, Aman; Das, Amitava (8 January 2024), A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language Models, arXiv:2401.01313
OpenAI (2023). "GPT-4 Technical Report". arXiv:2303.08774 [cs.CL].
Taylor, Ross; Kardas, Marcin; Cucurull, Guillem; Scialom, Thomas; Hartshorn, Anthony; Saravia, Elvis; Poulton, Andrew; Kerkez, Viktor; Stojnic, Robert (16 November 2022), Galactica: A Large Language Model for Science, doi:10.48550/arXiv.2211.09085, retrieved 24 July 2024
Zhang, Chenshuang; Zhang, Chaoning; Zheng, Sheng; Zhang, Mengchun; Qamar, Maryam; Bae, Sung-Ho; Kweon, In So (2 April 2023), A Survey on Audio Diffusion Models: Text To Speech Synthesis and Enhancement in Generative AI, doi:10.48550/arXiv.2303.13336, retrieved 15 August 2024
Ji, Ziwei; Jain, Sanjay; Kankanhalli, Mohan (2024). "Hallucination is Inevitable: An Innate Limitation of Large Language Models". arXiv:2401.11817 [cs.CL].
Ji, Ziwei; Lee, Nayeon; Frieske, Rita; Yu, Tiezheng; Su, Dan; Xu, Yan; Ishii, Etsuko; Bang, Yejin; Chen, Delong; Chan, Ho Shu; Dai, Wenliang; Madotto, Andrea; Fung, Pascale (2023). "Survey of Hallucination in Natural Language Generation". ACM Computing Surveys. 55 (12): 1–38. arXiv:2202.03629. doi:10.1145/3571730.
Varshney, Neeraj; Yao, Wenling; Zhang, Hongming; Chen, Jianshu; Yu, Dong (2023). "A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence Generation". arXiv:2307.03987 [cs.CL].
Luo, Junliang; Li, Tianyu; Wu, Di; Jenkin, Michael; Liu, Steve; Dudek, Gregory (2024). "Hallucination Detection and Hallucination Mitigation: An Investigation". arXiv:2401.08358 [cs.CL].
Dziri, Nouha; Madotto, Andrea; Zaiane, Osmar; Bose, Avishek Joey (2021). "Neural path hunter: Reducing hallucination in dialogue systems via path grounding". arXiv:2104.08455 [cs.CL].
Sun, Weiwei; Shi, Zhengliang; Gao, Shen; Ren, Pengjie; de Rijke, Maarten; Ren, Zhaochun (2022). "Contrastive Learning Reduces Hallucination in Conversations". arXiv:2212.10400 [cs.CL].
Mündler, Niels; He, Jingxuan; Jenko, Slobodan; Vechev, Martin (2023). "Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and Mitigation". arXiv:2305.15852 [cs.CL].

berkeley.edu

cmr.berkeley.edu

Mukherjee, Anirban; Chang, Hannah H. (2023). "Managing the Creative Frontier of Generative AI: The Novelty-Usefulness Tradeoff". California Management Review.

blog.google

"Gemini image generation got it wrong. We'll do better". Google. 23 February 2024. Retrieved 14 August 2024.

cbc.ca

Huizinga, Raechel (30 December 2022). "We asked an AI questions about New Brunswick. Some of the answers may surprise you". CBC News. Retrieved 30 December 2022.

cnbc.com

Leswing, Kif (14 February 2023). "Microsoft's Bing A.I. made several factual errors in last week's launch demo". CNBC. Retrieved 16 February 2023.
Pitt, Sofia (15 December 2022). "Google vs. ChatGPT: Here's what happened when I swapped services for a day". CNBC. Retrieved 30 December 2022.
Field, Hayden (31 May 2023). "OpenAI is pursuing a new way to fight A.I. 'hallucinations'". CNBC. Retrieved 11 June 2023.
Leswing, Kif (25 April 2023). "Nvidia has a new way to prevent A.I. chatbots from 'hallucinating' wrong facts". CNBC. Retrieved 15 June 2023.

cnn.com

Maruf, Ramishah (27 May 2023). "Lawyer apologizes for fake court citations from ChatGPT". CNN Business.

deepmind.com

"Shaking the foundations: delusions in sequence models for interaction and control". www.deepmind.com. 22 December 2023.

discovermagazine.com

Zastrow, Mark (30 December 2022). "We Asked ChatGPT Your Questions About Astronomy. It Didn't Go so Well". Discover. Retrieved 31 December 2022.

distill.pub

Gilmer, Justin; Hendrycks, Dan (6 August 2019). "A Discussion of 'Adversarial Examples Are Not Bugs, They Are Features': Adversarial Example Researchers Need to Expand What is Meant by 'Robustness'". Distill. 4 (8). doi:10.23915/distill.00019.1. S2CID 201142364. Retrieved 24 January 2023.

doi.org

Hicks, Michael Townsen; Humphries, James; Slater, Joe (8 June 2024). "ChatGPT is bullshit". Ethics and Information Technology. 26 (2): 38. doi:10.1007/s10676-024-09775-5. ISSN 1572-8439.
Ji, Ziwei; Lee, Nayeon; Frieske, Rita; Yu, Tiezheng; Su, Dan; Xu, Yan; Ishii, Etsuko; Bang, Yejin; Dai, Wenliang; Madotto, Andrea; Fung, Pascale (November 2022). "Survey of Hallucination in Natural Language Generation" (pdf). ACM Computing Surveys. 55 (12). Association for Computing Machinery: 1–38. arXiv:2202.03629. doi:10.1145/3571730. S2CID 246652372. Retrieved 15 January 2023.
de Wynter, Adrian; Wang, Xun; Sokolov, Alex; Gu, Qilong; Chen, Si-Qing (13 July 2023). "An evaluation on large language model outputs: Discourse and memorization". Natural Language Processing Journal. 4. arXiv:2304.08637. doi:10.1016/j.nlp.2023.100024. ISSN 2949-7191.
Thaler, Stephen (December 1995). "Virtual input phenomena within the death of a simple pattern associator". Neural Networks. 8 (1): 55–6. doi:10.1016/0893-6080(94)00065-T.
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Amabile, Teresa M.; Pratt, Michael G. (2016). "The dynamic componential model of creativity and innovation in organizations: Making progress, making meaning". Research in Organizational Behavior. 36: 157–183. doi:10.1016/j.riob.2016.10.001. S2CID 44444992.
Taylor, Ross; Kardas, Marcin; Cucurull, Guillem; Scialom, Thomas; Hartshorn, Anthony; Saravia, Elvis; Poulton, Andrew; Kerkez, Viktor; Stojnic, Robert (16 November 2022), Galactica: A Large Language Model for Science, doi:10.48550/arXiv.2211.09085, retrieved 24 July 2024
Athaluri, Sai Anirudh; Manthena, Sandeep Varma; Kesapragada, V S R Krishna Manoj; Yarlagadda, Vineel; Dave, Tirth; Duddumpudi, Rama Tulasi Siri (11 April 2023). "Exploring the Boundaries of Reality: Investigating the Phenomenon of Artificial Intelligence Hallucination in Scientific Writing Through ChatGPT References". Cureus. 15 (4): e37432. doi:10.7759/cureus.37432. ISSN 2168-8184. PMC 10173677. PMID 37182055.
Goddard, Jerome (25 June 2023). "Hallucinations in ChatGPT: A Cautionary Tale for Biomedical Researchers". The American Journal of Medicine. 136 (11): 1059–1060. doi:10.1016/j.amjmed.2023.06.012. ISSN 0002-9343. PMID 37369274. S2CID 259274217.
Bhattacharyya, Mehul; Miller, Valerie M.; Bhattacharyya, Debjani; Miller, Larry E.; Bhattacharyya, Mehul; Miller, Valerie; Bhattacharyya, Debjani; Miller, Larry E. (19 May 2023). "High Rates of Fabricated and Inaccurate References in ChatGPT-Generated Medical Content". Cureus. 15 (5): e39238. doi:10.7759/cureus.39238. ISSN 2168-8184. PMC 10277170. PMID 37337480.
Else, Holly (12 January 2023). "Abstracts written by ChatGPT fool scientists". Nature. 613 (7944): 423. Bibcode:2023Natur.613..423E. doi:10.1038/d41586-023-00056-7. PMID 36635510. S2CID 255773668.
Gao, Catherine A.; Howard, Frederick M.; Markov, Nikolay S.; Dyer, Emma C.; Ramesh, Siddhi; Luo, Yuan; Pearson, Alexander T. (26 April 2023). "Comparing scientific abstracts generated by ChatGPT to real abstracts with detectors and blinded human reviewers". npj Digital Medicine. 6 (1): 75. doi:10.1038/s41746-023-00819-6. ISSN 2398-6352. PMC 10133283. PMID 37100871.
Emsley, Robin (19 August 2023). "ChatGPT: these are not hallucinations – they're fabrications and falsifications". Schizophrenia. 9 (1): 52. doi:10.1038/s41537-023-00379-4. ISSN 2754-6993. PMC 10439949. PMID 37598184.
Gilmer, Justin; Hendrycks, Dan (6 August 2019). "A Discussion of 'Adversarial Examples Are Not Bugs, They Are Features': Adversarial Example Researchers Need to Expand What is Meant by 'Robustness'". Distill. 4 (8). doi:10.23915/distill.00019.1. S2CID 201142364. Retrieved 24 January 2023.
Zhang, Chenshuang; Zhang, Chaoning; Zheng, Sheng; Zhang, Mengchun; Qamar, Maryam; Bae, Sung-Ho; Kweon, In So (2 April 2023), A Survey on Audio Diffusion Models: Text To Speech Synthesis and Enhancement in Generative AI, doi:10.48550/arXiv.2303.13336, retrieved 15 August 2024
Nie, Feng; Yao, Jin-Ge; Wang, Jinpeng; Pan, Rong; Lin, Chin-Yew (July 2019). "A Simple Recipe towards Reducing Hallucination in Neural Surface Realisation" (PDF). Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics: 2673–2679. doi:10.18653/v1/P19-1256. S2CID 196183567. Retrieved 15 January 2023.
Dziri, Nouha; Milton, Sivan; Yu, Mo; Zaiane, Osmar; Reddy, Siva (July 2022). "On the Origin of Hallucinations in Conversational Models: Is it the Datasets or the Models?" (PDF). Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. Association for Computational Linguistics. pp. 5271–5285. doi:10.18653/v1/2022.naacl-main.387. S2CID 250242329. Retrieved 15 January 2023.
Ji, Ziwei; Lee, Nayeon; Frieske, Rita; Yu, Tiezheng; Su, Dan; Xu, Yan; Ishii, Etsuko; Bang, Yejin; Chen, Delong; Chan, Ho Shu; Dai, Wenliang; Madotto, Andrea; Fung, Pascale (2023). "Survey of Hallucination in Natural Language Generation". ACM Computing Surveys. 55 (12): 1–38. arXiv:2202.03629. doi:10.1145/3571730.

fastcompany.com

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github.com

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harvard.edu

ui.adsabs.harvard.edu

Else, Holly (12 January 2023). "Abstracts written by ChatGPT fool scientists". Nature. 613 (7944): 423. Bibcode:2023Natur.613..423E. doi:10.1038/d41586-023-00056-7. PMID 36635510. S2CID 255773668.

hbr.org

Mollick, Ethan (14 December 2022). "ChatGPT Is a Tipping Point for AI". Harvard Business Review. Retrieved 29 December 2022.

latent.space

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merriam-webster.com

"Definition of HALLUCINATION". www.merriam-webster.com. 21 October 2023. Retrieved 29 October 2023.

meta.com

ai.meta.com

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mit.edu

people.csail.mit.edu

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mlr.press

proceedings.mlr.press

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nature.com

Else, Holly (12 January 2023). "Abstracts written by ChatGPT fool scientists". Nature. 613 (7944): 423. Bibcode:2023Natur.613..423E. doi:10.1038/d41586-023-00056-7. PMID 36635510. S2CID 255773668.

nih.gov

pubmed.ncbi.nlm.nih.gov

Athaluri, Sai Anirudh; Manthena, Sandeep Varma; Kesapragada, V S R Krishna Manoj; Yarlagadda, Vineel; Dave, Tirth; Duddumpudi, Rama Tulasi Siri (11 April 2023). "Exploring the Boundaries of Reality: Investigating the Phenomenon of Artificial Intelligence Hallucination in Scientific Writing Through ChatGPT References". Cureus. 15 (4): e37432. doi:10.7759/cureus.37432. ISSN 2168-8184. PMC 10173677. PMID 37182055.
Goddard, Jerome (25 June 2023). "Hallucinations in ChatGPT: A Cautionary Tale for Biomedical Researchers". The American Journal of Medicine. 136 (11): 1059–1060. doi:10.1016/j.amjmed.2023.06.012. ISSN 0002-9343. PMID 37369274. S2CID 259274217.
Bhattacharyya, Mehul; Miller, Valerie M.; Bhattacharyya, Debjani; Miller, Larry E.; Bhattacharyya, Mehul; Miller, Valerie; Bhattacharyya, Debjani; Miller, Larry E. (19 May 2023). "High Rates of Fabricated and Inaccurate References in ChatGPT-Generated Medical Content". Cureus. 15 (5): e39238. doi:10.7759/cureus.39238. ISSN 2168-8184. PMC 10277170. PMID 37337480.
Else, Holly (12 January 2023). "Abstracts written by ChatGPT fool scientists". Nature. 613 (7944): 423. Bibcode:2023Natur.613..423E. doi:10.1038/d41586-023-00056-7. PMID 36635510. S2CID 255773668.
Gao, Catherine A.; Howard, Frederick M.; Markov, Nikolay S.; Dyer, Emma C.; Ramesh, Siddhi; Luo, Yuan; Pearson, Alexander T. (26 April 2023). "Comparing scientific abstracts generated by ChatGPT to real abstracts with detectors and blinded human reviewers". npj Digital Medicine. 6 (1): 75. doi:10.1038/s41746-023-00819-6. ISSN 2398-6352. PMC 10133283. PMID 37100871.
Emsley, Robin (19 August 2023). "ChatGPT: these are not hallucinations – they're fabrications and falsifications". Schizophrenia. 9 (1): 52. doi:10.1038/s41537-023-00379-4. ISSN 2754-6993. PMC 10439949. PMID 37598184.

ncbi.nlm.nih.gov

Athaluri, Sai Anirudh; Manthena, Sandeep Varma; Kesapragada, V S R Krishna Manoj; Yarlagadda, Vineel; Dave, Tirth; Duddumpudi, Rama Tulasi Siri (11 April 2023). "Exploring the Boundaries of Reality: Investigating the Phenomenon of Artificial Intelligence Hallucination in Scientific Writing Through ChatGPT References". Cureus. 15 (4): e37432. doi:10.7759/cureus.37432. ISSN 2168-8184. PMC 10173677. PMID 37182055.
Bhattacharyya, Mehul; Miller, Valerie M.; Bhattacharyya, Debjani; Miller, Larry E.; Bhattacharyya, Mehul; Miller, Valerie; Bhattacharyya, Debjani; Miller, Larry E. (19 May 2023). "High Rates of Fabricated and Inaccurate References in ChatGPT-Generated Medical Content". Cureus. 15 (5): e39238. doi:10.7759/cureus.39238. ISSN 2168-8184. PMC 10277170. PMID 37337480.
Gao, Catherine A.; Howard, Frederick M.; Markov, Nikolay S.; Dyer, Emma C.; Ramesh, Siddhi; Luo, Yuan; Pearson, Alexander T. (26 April 2023). "Comparing scientific abstracts generated by ChatGPT to real abstracts with detectors and blinded human reviewers". npj Digital Medicine. 6 (1): 75. doi:10.1038/s41746-023-00819-6. ISSN 2398-6352. PMC 10133283. PMID 37100871.
Emsley, Robin (19 August 2023). "ChatGPT: these are not hallucinations – they're fabrications and falsifications". Schizophrenia. 9 (1): 52. doi:10.1038/s41537-023-00379-4. ISSN 2754-6993. PMC 10439949. PMID 37598184.

northeastern.edu

news.northeastern.edu

Stening, Tanner (10 November 2023). "What are AI chatbots actually doing when they 'hallucinate'? Here's why experts don't like the term". Northeastern Global News. Retrieved 14 June 2024.

npr.org

Bowman, Emma (19 December 2022). "A new AI chatbot might do your homework for you. But it's still not an A+ student". NPR. Retrieved 29 December 2022.

nytimes.com

Metz, Cade (6 November 2023). "Chatbots May 'Hallucinate' More Often Than Many Realize". The New York Times.
Weise, Karen; Metz, Cade (1 May 2023). "When A.I. Chatbots Hallucinate". The New York Times. ISSN 0362-4331. Retrieved 8 May 2023.
Metz, Cade (10 December 2022). "The New Chatbots Could Change the World. Can You Trust Them?". The New York Times. Retrieved 30 December 2022.

philarchive.org

Šekrst, Kristina. "Unjustified untrue "beliefs": AI hallucinations and justification logics". In Grgić, Filip; Świętorzecka, Kordula; Brożek, Anna (eds.). Logic, Knowledge, and Tradition: Essays in Honor of Srecko Kovač. Retrieved 4 June 2024.

psypost.org

Dolan, Eric W. (9 June 2024). "Scholars: AI isn't "hallucinating" -- it's bullshitting". PsyPost - Psychology News. Retrieved 11 June 2024.

research.google

"Hallucinations in Neural Machine Translation". research.google. Retrieved 2 April 2024.

reuters.com

"Google cautions against 'hallucinating' chatbots, report says". Reuters. 11 February 2023. Retrieved 16 February 2023.

salon.com

"An AI that can "write" is feeding delusions about how smart artificial intelligence really is". Salon. 2 January 2023. Retrieved 11 June 2023.

semanticscholar.org

api.semanticscholar.org

Ji, Ziwei; Lee, Nayeon; Frieske, Rita; Yu, Tiezheng; Su, Dan; Xu, Yan; Ishii, Etsuko; Bang, Yejin; Dai, Wenliang; Madotto, Andrea; Fung, Pascale (November 2022). "Survey of Hallucination in Natural Language Generation" (pdf). ACM Computing Surveys. 55 (12). Association for Computing Machinery: 1–38. arXiv:2202.03629. doi:10.1145/3571730. S2CID 246652372. Retrieved 15 January 2023.
Amabile, Teresa M.; Pratt, Michael G. (2016). "The dynamic componential model of creativity and innovation in organizations: Making progress, making meaning". Research in Organizational Behavior. 36: 157–183. doi:10.1016/j.riob.2016.10.001. S2CID 44444992.
Goddard, Jerome (25 June 2023). "Hallucinations in ChatGPT: A Cautionary Tale for Biomedical Researchers". The American Journal of Medicine. 136 (11): 1059–1060. doi:10.1016/j.amjmed.2023.06.012. ISSN 0002-9343. PMID 37369274. S2CID 259274217.
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