错误的对齐:Problematic alignment process could mislead LLMs into hallucination. 生成策略:The generation strategy employed by LLMs has potential risks. 自回归式生成带来幻觉的滚雪球效应。 缓解幻觉 数据端:the curation of pre-training corpora. 对数据进行选择与过滤 SFT 端:Curating the training datais on...
今日分享Daily20 大模型幻觉(1)Siren’s Song in the AI Ocean: A Survey on Hallucination in Large Language Models Part一、论文摘要 尽管大型语言模型(LLMs)在众多任务中展现了出色的能力,但它们时常会出现“幻觉”,即生成与用户输入、之前生成的上下文或世界已知事实不符的内容。论文总结了当前关于检测、解释...
in real-world scenarios. In this paper, 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 ...
Hallucination of Multimodal Large Language Models: A Survey This survey presents a comprehensive analysis of the phenomenon of hallucination in multimodal large language models (MLLMs), also known as Large Vision-La... Z Bai,P Wang,T Xiao,... 被引量: 0发表: 2024年 Multilingual Hallucination ...
A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions. arXiv preprint arXiv:2311.05232, 2023. Huang et al. [2023b] Xu Huang, Jianxun Lian, et al. Recommender ai agent: Integrating large language models for interactive recommendations. arXi...
Huang L, Yu W, Ma W et al. A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions. 2023; published online Nov 9.https://doi.org/10.48550/arXiv.2311.05232 Lomis K, Jeffries P, Palatta A, et al. Artificial Intelligence for Health Profession...
😎 We have uploaded a comprehensive survey about the hallucination issue within the context of large language models, which discussed the evaluation, explanation, and mitigation. Check it out! Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models ...
大模型(LLM)最新论文摘要 | A Survey of Hallucination in Large Foundation Models Authors: Vipula Rawte, Amit Sheth, Amitava Das Hallucination in a foundation model (FM) refers to the generation of content that strays from factual reality or includes fabricated information. This survey paper ...
A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions,Huang et al.,arXiv 2023, [Paper] Unveiling the pitfalls of knowledge editing for large language models,Li et al.,ICLR 2024, [Paper] ...
Hallucination in Large Language Models (LLMs) entails the creation of factuallyerroneousinformation spanning a multitude of subjects. Given the extensive domain coverage of LLMs, their application extends across numerous scholarly and professional areas. These include, but are not limited to, academic ...