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Abstract
While large language models (LLMs) have demonstrated remarkable capabilities across a range of downstream tasks, a significant concern revolves around their propensity to exhibit hallucinations: LLMs occasionally generate content that diverges from the user input, contradicts previously generated context, or misaligns with established world knowledge. This phenomenon poses a substantial challenge to the reliability of LLMs in real-world scenarios. In this article, we survey recent efforts on the detection, explanation, and mitigation of hallucination, with an emphasis on the unique challenges posed by LLMs. We present taxonomies of the LLM hallucination phenomena and evaluation benchmarks, analyze existing approaches aiming at mitigating LLM hallucination, and discuss potential directions for future research.
Academic Publication 🧜Siren’s Song in the AI Ocean: A Survey on Hallucination in Large Language Models
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🧜Siren’s Song in the AI Ocean: A Survey on Hallucination in Large Language Models
Abstract While large language models (LLMs) have demonstrated remarkable capabilities across a range of downstream tasks, a significant concern revolves around their propensity to...
A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions
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AI hallucination: towards a comprehensive classification of distorted information in artificial intelligence-generated content
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What is the core focus of the research titled '🧜Siren’s Song in the AI Ocean: A Survey on Hallucination in Large Language Models'?
This literature focuses on: Abstract While large language models (LLMs) have demonstrated remarkable capabilities across a range of downstream tasks, a significant concern revolves around their propensity to exhibit hallucinations: LLMs occasionally generat...
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What other academic literature is closely related to '🧜Siren’s Song in the AI Ocean: A Survey on Hallucination in Large Language Models'?
Yes, highly correlated activity was mapped. An entry titled '🧜Siren’s Song in the AI Ocean: A Survey on Hallucination in Large Language Models' discusses this: Abstract While large language models (LLMs) have demonstrated remarkable capabilities across a range of downstream tasks, a signi...
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