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ResearchOct 21, 2026

Fluent but Fallible: Benchmarking Hallucination and Factual Reliability in Large Language Models

A comparative study evaluating ten advanced large language models across 70 academic prompts reveals a fundamental trade-off between response completeness and…

arXiv – Computation and Language Read original report

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#benchmarking#hallucination#llms#evaluation#ChatGPT#OpenAI#DeepSeek#Claude#Anthropic

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arXiv – Computation and LanguagePrimary source

Fluent but Fallible: Benchmarking Hallucination and Factual Reliability in Large Language Models

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