LLM Hallucination: The Curse That Cannot Be Broken
Artificial intelligence chatbots (e.g., ChatGPT, Claude, and Llama, etc.), also known as large language models (LLMs), are continually evolving to be an essential part of the digital tools we use, but are plagued with the phenomenon of hallucination. This paper gives an overview of this phenomenon,...
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| Format: | Article |
| Language: | Arabic |
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University of Information Technology and Communications
2025-08-01
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| Series: | Iraqi Journal for Computers and Informatics |
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| Online Access: | https://ijci.uoitc.edu.iq/index.php/ijci/article/view/546 |
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| author | Hussein Al-Mahmood |
| author_facet | Hussein Al-Mahmood |
| author_sort | Hussein Al-Mahmood |
| collection | DOAJ |
| description | Artificial intelligence chatbots (e.g., ChatGPT, Claude, and Llama, etc.), also known as large language models (LLMs), are continually evolving to be an essential part of the digital tools we use, but are plagued with the phenomenon of hallucination. This paper gives an overview of this phenomenon, discussing its different types, the multi-faceted reasons that lead to it, its impact, and the statement regarding the inherent nature of current LLMs that make hallucinations inevitable. After examining several techniques, each chosen for their different implementation, to detect and mitigate hallucinations, including enhanced training, tagged-context prompts, contrastive learning, and semantic entropy analysis, the work concludes that none are efficient to mitigate hallucinations when they occur. The phenomenon is here to stay, hence calling for robust user awareness and verification mechanisms, stepping short of absolute dependence on these models in healthcare, journalism, legal services, finance, and other critical applications that require accurate and reliable information to ensure informed decisions. |
| format | Article |
| id | doaj-art-dfbe68f83b324babb30ee87e28008fcf |
| institution | Kabale University |
| issn | 2313-190X 2520-4912 |
| language | Arabic |
| publishDate | 2025-08-01 |
| publisher | University of Information Technology and Communications |
| record_format | Article |
| series | Iraqi Journal for Computers and Informatics |
| spelling | doaj-art-dfbe68f83b324babb30ee87e28008fcf2025-08-25T07:15:01ZaraUniversity of Information Technology and CommunicationsIraqi Journal for Computers and Informatics2313-190X2520-49122025-08-01512566910.25195/ijci.v51i2.546509LLM Hallucination: The Curse That Cannot Be BrokenHussein Al-Mahmood0https://orcid.org/0009-0009-5318-1048University of BasrahArtificial intelligence chatbots (e.g., ChatGPT, Claude, and Llama, etc.), also known as large language models (LLMs), are continually evolving to be an essential part of the digital tools we use, but are plagued with the phenomenon of hallucination. This paper gives an overview of this phenomenon, discussing its different types, the multi-faceted reasons that lead to it, its impact, and the statement regarding the inherent nature of current LLMs that make hallucinations inevitable. After examining several techniques, each chosen for their different implementation, to detect and mitigate hallucinations, including enhanced training, tagged-context prompts, contrastive learning, and semantic entropy analysis, the work concludes that none are efficient to mitigate hallucinations when they occur. The phenomenon is here to stay, hence calling for robust user awareness and verification mechanisms, stepping short of absolute dependence on these models in healthcare, journalism, legal services, finance, and other critical applications that require accurate and reliable information to ensure informed decisions.https://ijci.uoitc.edu.iq/index.php/ijci/article/view/546aiartificial intelligencehallucinationlarge language modelllm |
| spellingShingle | Hussein Al-Mahmood LLM Hallucination: The Curse That Cannot Be Broken Iraqi Journal for Computers and Informatics ai artificial intelligence hallucination large language model llm |
| title | LLM Hallucination: The Curse That Cannot Be Broken |
| title_full | LLM Hallucination: The Curse That Cannot Be Broken |
| title_fullStr | LLM Hallucination: The Curse That Cannot Be Broken |
| title_full_unstemmed | LLM Hallucination: The Curse That Cannot Be Broken |
| title_short | LLM Hallucination: The Curse That Cannot Be Broken |
| title_sort | llm hallucination the curse that cannot be broken |
| topic | ai artificial intelligence hallucination large language model llm |
| url | https://ijci.uoitc.edu.iq/index.php/ijci/article/view/546 |
| work_keys_str_mv | AT husseinalmahmood llmhallucinationthecursethatcannotbebroken |