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LightHouse: A Survey of AGI Hallucination

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arxiv 2401.06792 v2 pith:ONDN34UP submitted 2024-01-08 cs.CL cs.AI

classification cs.CLcs.AI
keywords researchhallucinationsartificialintelligencemodelsdevelopmenthallucinationlarge
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With the development of artificial intelligence, large-scale models have become increasingly intelligent. However, numerous studies indicate that hallucinations within these large models are a bottleneck hindering the development of AI research. In the pursuit of achieving strong artificial intelligence, a significant volume of research effort is being invested in the AGI (Artificial General Intelligence) hallucination research. Previous explorations have been conducted in researching hallucinations within LLMs (Large Language Models). As for multimodal AGI, research on hallucinations is still in an early stage. To further the progress of research in the domain of hallucinatory phenomena, we present a bird's eye view of hallucinations in AGI, summarizing the current work on AGI hallucinations and proposing some directions for future research.

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  1. Can Hallucinations Help? Boosting LLMs for Drug Discovery

    cs.CL 2025-01 conditional novelty 6.0 of 10

    Adding hallucinated molecule descriptions to prompts improves ROC-AUC for several LLMs on molecular property prediction, with GPT-4o-generated text giving the largest consistent gains.

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