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72c25d89378652a6d9b7 · Hallucination Detection in Large Language Models Using Diversion Decoding

Hallucination Detection in Large Language Models Using Diversion Decoding

Large language models (LLMs) have emerged as a powerful tool for retrieving knowledge through seamless, human-like interactions. Despite their advanced text generation capabilities, LLMs exhibit hallucination tendencies, where they generate factually

Официальный источник · 2025-06-24

Полные импортированные сведения карточки
{
  "title_en": "Hallucination Detection in Large Language Models Using Diversion Decoding",
  "designation": "",
  "series": "",
  "status": "",
  "date": "2025-06-24",
  "date_original": "June 24, 2025",
  "url": "https://www.nist.gov/publications/hallucination-detection-large-language-models-using-diversion-decoding",
  "source": "NIST Publications",
  "display_en": "",
  "authors_en": "Basel Abdeen, S M Tahmid Siddiqui, Meah Tahmeed Ahmed, Anoop Singhal , Latifur Khan, Punya Modi, Ehab Al-Shaer",
  "abstract_excerpt_en": "Large language models (LLMs) have emerged as a powerful tool for retrieving knowledge through seamless, human-like interactions. Despite their advanced text generation capabilities, LLMs exhibit hallucination tendencies, where they generate factually",
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  "sources": [
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    {
      "title_en": "Hallucination Detection in Large Language Models Using Diversion Decoding",
      "designation": "",
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      "date_original": "June 24, 2025",
      "url": "https://www.nist.gov/publications/hallucination-detection-large-language-models-using-diversion-decoding",
      "source": "NIST Publications",
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      "authors_en": "Basel Abdeen, S M Tahmid Siddiqui, Meah Tahmeed Ahmed, Anoop Singhal , Latifur Khan, Punya Modi, Ehab Al-Shaer",
      "abstract_excerpt_en": "Large language models (LLMs) have emerged as a powerful tool for retrieving knowledge through seamless, human-like interactions. Despite their advanced text generation capabilities, LLMs exhibit hallucination tendencies, where they generate factually"
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