玄野 大模型(LLM)最新论文摘要 | A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions Authors: Lei Huang, Weijiang Yu, Weitao Ma, Weihong Zhong, Zhangyin Feng, Haotian Wang, Qianglong Chen, Weihua Peng, Xiaocheng Feng, Bing Qin, Ting Liu ...
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 产品经理胡笛笛 用交叉学科构建产品职业理论&实践传道士 目录 收起 Part一、论文摘要 Part二、论文引言 Part三、论文核心方法 Part四、研究结果 Part五、讨论结论及后续应用方向 Part一...
LLMs 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 ...
A Survey on Hallucination in Large Vision-Language Models Recent development of Large Vision-Language Models (LVLMs) has attracted growing attention within the AI landscape for its practical implementation potenti... H Liu,W Xue,Y Chen,... 被引量: 0发表: 2024年 Towards trustworthy LLMs: a ...
😎 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 ...
2) Mitigating Hallucination in LLMs - summarizes 32 techniques to mitigate hallucination in LLMs; introduces a taxonomy categorizing methods like RAG, Knowledge Retrieval, CoVe, and more; provides tips on how to apply these methods and highlights the challenges and limitations inherent in them. Pape...
In this paper, we conduct a comprehensive and systematic survey of the field of LLM-based multi-agent systems. Specifically, following the workflow of LLM-based multi-agent systems, we organize our survey around three key aspects: construction, application, and discussion of this field. For syste...
However, the use of LLMs has raised concerns about their potential safety and security risks. In this survey, we explore the safety implications of LLMs, including ethical considerations, hallucination, and prompt injection. We also discuss current research efforts to mitigate these ris...
Recently, through the acquisition of vast amounts of Web knowledge, large language models (LLMs) have shown potential in human-level intelligence, leading to a surge in research on LLM-based autonomous agents. In this paper, we present a comprehensive survey of these studies, delivering a ...
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 ...