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<title>[2406.09155] DefAn: Definitive Answer Dataset for LLMs Hallucination Evaluation</title>
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<meta property=og:description content="Large Language Models (LLMs) have demonstrated remarkable capabilities, revolutionizing the integration of AI in daily life applications. However, they are prone to hallucinations, generating claims that contradict established facts, deviating from prompts, and producing inconsistent responses when the same prompt is presented multiple times. Addressing these issues is challenging due to the lack of comprehensive and easily assessable benchmark datasets. Most existing datasets are small and rely on multiple-choice questions, which are inadequate for evaluating the generative prowess of LLMs. To measure hallucination in LLMs, this paper introduces a comprehensive benchmark dataset comprising over 75,000 prompts across eight domains. These prompts are designed to elicit definitive, concise, and informative answers. The dataset is divided into two segments: one publicly available for testing and assessing LLM performance and a hidden segment for benchmarking various LLMs. In our experiments, we tested six LLMs-GPT-3.5, LLama 2, LLama 3, Gemini, Mixtral, and Zephyr-revealing that overall factual hallucination ranges from 59% to 82% on the public dataset and 57% to 76% in the hidden benchmark. Prompt misalignment hallucination ranges from 6% to 95% in the public dataset and 17% to 94% in the hidden counterpart. Average consistency ranges from 21% to 61% and 22% to 63%, respectively. Domain-wise analysis shows that LLM performance significantly deteriorates when asked for specific numeric information while performing moderately with person, location, and date queries. Our dataset demonstrates its efficacy and serves as a comprehensive benchmark for LLM performance evaluation. Our dataset and LLMs responses are available at \href{https://github.com/ashikiut/DefAn}{https://github.com/ashikiut/DefAn}.">
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<meta name=citation_title content="DefAn: Definitive Answer Dataset for LLMs Hallucination Evaluation"><meta name=citation_author content="Rahman, A B M Ashikur"><meta name=citation_author content="Anwar, Saeed"><meta name=citation_author content="Usman, Muhammad"><meta name=citation_author content="Mian, Ajmal"><meta name=citation_date content=2024/06/13><meta name=citation_online_date content=2024/06/13><meta name=citation_pdf_url content=https://arxiv.org/pdf/2406.09155><meta name=citation_arxiv_id content=2406.09155><meta name=citation_abstract content="Large Language Models (LLMs) have demonstrated remarkable capabilities, revolutionizing the integration of AI in daily life applications. However, they are prone to hallucinations, generating claims that contradict established facts, deviating from prompts, and producing inconsistent responses when the same prompt is presented multiple times. Addressing these issues is challenging due to the lack of comprehensive and easily assessable benchmark datasets. Most existing datasets are small and rely on multiple-choice questions, which are inadequate for evaluating the generative prowess of LLMs. To measure hallucination in LLMs, this paper introduces a comprehensive benchmark dataset comprising over 75,000 prompts across eight domains. These prompts are designed to elicit definitive, concise, and informative answers. The dataset is divided into two segments: one publicly available for testing and assessing LLM performance and a hidden segment for benchmarking various LLMs. In our experiments, we tested six LLMs-GPT-3.5, LLama 2, LLama 3, Gemini, Mixtral, and Zephyr-revealing that overall factual hallucination ranges from 59% to 82% on the public dataset and 57% to 76% in the hidden benchmark. Prompt misalignment hallucination ranges from 6% to 95% in the public dataset and 17% to 94% in the hidden counterpart. Average consistency ranges from 21% to 61% and 22% to 63%, respectively. Domain-wise analysis shows that LLM performance significantly deteriorates when asked for specific numeric information while performing moderately with person, location, and date queries. Our dataset demonstrates its efficacy and serves as a comprehensive benchmark for LLM performance evaluation. Our dataset and LLMs responses are available at \href{https://github.com/ashikiut/DefAn}{https://github.com/ashikiut/DefAn}.">
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<h1>Computer Science > Computation and Language</h1>
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<strong>arXiv:2406.09155</strong> (cs)
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<style>#abs{font-family:"Lucida Grande",Helvetica,Arial,sans-serif!important}#abs h1.title{display:block;font-size:1.8em!important;font-weight:700;margin-block-end:12px;margin-block-start:12px;margin-bottom:12px;margin-inline-end:0px;margin-inline-start:20px;margin-left:20px;margin-right:0px;margin-top:12px}#abs div.authors{font-size:1.2em;line-height:24px;margin-bottom:8px;margin-left:20px;margin-right:0px;margin-top:8px}#abs div.dateline{font-size:0.9em;font-style:italic;margin-bottom:6.5px;margin-left:20px;margin-right:0px;margin-top:6.5px}#abs blockquote.abstract{font-size:1.05em;margin-block-end:21.6px;margin-block-start:14.4px;margin-bottom:21.6px;margin-inline-end:40px;margin-inline-start:40px;background-color:white;border-left:0px;padding:0px}#abs div.metatable{font-size:0.95em!important;margin-bottom:19px;margin-left:20px;margin-right:0px;margin-top:0px;border:0px;padding:0px}#abs div.metatable tbody{vertical-align:middle}#abs tr{margin-top:0px;margin-bottom:0px}#abs td.tablecell{padding-top:0px;padding-bottom:0px;padding-right:6.5px;padding-left:0px;vertical-align:top;font-size:0.95em!important;margin-top:0px;margin-bottom:0px;border:0px}#abs td.tablecell.label{font-weight:400!important}#abs span.primary-subject{font-weight:700}#abs span.arxivid{font-weight:700}</style>
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[Submitted on 13 Jun 2024]</div>
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<h1 class="title mathjax"><span class="descriptor sf-hidden">Title:</span>DefAn: Definitive Answer Dataset for LLMs Hallucination Evaluation</h1>
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<div class=authors><span class="descriptor sf-hidden">Authors:</span><a href="https://arxiv.org/search/cs?searchtype=author&query=Rahman,+A+B+M+A" rel=nofollow>A B M Ashikur Rahman</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Anwar,+S" rel=nofollow>Saeed Anwar</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Usman,+M" rel=nofollow>Muhammad Usman</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Mian,+A" rel=nofollow>Ajmal Mian</a></div> <div id=download-button-info class=sf-hidden hidden>View a PDF of the paper titled DefAn: Definitive Answer Dataset for LLMs Hallucination Evaluation, by A B M Ashikur Rahman and 3 other authors</div>
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<a class=mobile-submission-download href=https://arxiv.org/pdf/2406.09155>View PDF</a>
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<a class=mobile-submission-download href=https://arxiv.org/html/2406.09155v1>HTML (experimental)</a>
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<blockquote class="abstract mathjax">
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<span class="descriptor sf-hidden">Abstract:</span>Large Language Models (LLMs) have demonstrated remarkable capabilities, revolutionizing the integration of AI in daily life applications. However, they are prone to hallucinations, generating claims that contradict established facts, deviating from prompts, and producing inconsistent responses when the same prompt is presented multiple times. Addressing these issues is challenging due to the lack of comprehensive and easily assessable benchmark datasets. Most existing datasets are small and rely on multiple-choice questions, which are inadequate for evaluating the generative prowess of LLMs. To measure hallucination in LLMs, this paper introduces a comprehensive benchmark dataset comprising over 75,000 prompts across eight domains. These prompts are designed to elicit definitive, concise, and informative answers. The dataset is divided into two segments: one publicly available for testing and assessing LLM performance and a hidden segment for benchmarking various LLMs. In our experiments, we tested six LLMs-GPT-3.5, LLama 2, LLama 3, Gemini, Mixtral, and Zephyr-revealing that overall factual hallucination ranges from 59% to 82% on the public dataset and 57% to 76% in the hidden benchmark. Prompt misalignment hallucination ranges from 6% to 95% in the public dataset and 17% to 94% in the hidden counterpart. Average consistency ranges from 21% to 61% and 22% to 63%, respectively. Domain-wise analysis shows that LLM performance significantly deteriorates when asked for specific numeric information while performing moderately with person, location, and date queries. Our dataset demonstrates its efficacy and serves as a comprehensive benchmark for LLM performance evaluation. Our dataset and LLMs responses are available at \href{<a href=https://github.com/ashikiut/DefAn rel="external noopener nofollow" class="link-external link-https">this https URL</a>}{<a href=https://github.com/ashikiut/DefAn rel="external noopener nofollow" class="link-external link-https">this https URL</a>}.
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<table summary="Additional metadata"><tbody><tr>
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<td class="tablecell label">Subjects:</td>
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<td class="tablecell subjects">
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<span class=primary-subject>Computation and Language (cs.CL)</span>; Artificial Intelligence (cs.AI); Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG)</td>
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<tr>
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<td class="tablecell label">Cite as:</td>
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<td class="tablecell arxivid"><span class=arxivid><a href=https://arxiv.org/abs/2406.09155>arXiv:2406.09155</a> [cs.CL]</span></td>
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<td class="tablecell label"> </td>
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<td class="tablecell arxividv">(or <span class=arxivid>
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<a href=https://arxiv.org/abs/2406.09155v1>arXiv:2406.09155v1</a> [cs.CL]</span> for this version)
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<h2>Submission history</h2> From: Saeed Anwar [<a href=https://arxiv.org/show-email/2ead08a5/2406.09155 rel=nofollow>view email</a>] <br> <strong>[v1]</strong>
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Thu, 13 Jun 2024 14:18:13 UTC (2,046 KB)<br>
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