Detecting hallucinations in large language models using semantic entropy
Large language model (LLM) systems, such as ChatGPT1 or Gemini2, can show impressive reasoning and question-answering capabilities but often ‘hallucinate’ false outputs and unsubstantiated answers3, 4. Answering unreliably or without the necessary information prevents adoption in diverse fields, wit...
| Main Authors: | , , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
Nature Research
2024
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