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 ...
[1] Yue Zhang, Yafu Li, Leyang Cui, Deng Cai, Lemao Liu, Tingchen Fu, Xinting Huang, EnboZhao, Yu Zhang, Yulong Chen, et al. Siren’s song in the ai ocean: a survey on hallucination inlarge language models. arXiv preprint arXiv:2309.01219, 2023. [2] Lei Huang, Weijiang Yu, ...
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 Gaps in Large Language Models Large language models (LLMs)...
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...
Reading list of hallucination in LLMs. Check out our new survey paper: "Siren’s Song in the AI Ocean: A Survey on Hallucination in Large Language Models" - HillZhang1999/llm-hallucination-survey
A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions arXiv 09 Nov 2023 Paper Prompting Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing arXiv 28 Jul 2021 Paper A Survey on In-context Learni...
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 ...
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...
LLM之RAG:《Retrieval-Augmented Generation for Large Language Models: A Survey大型语言模型的检索增强生成研究综述》翻译与解读 导读:这篇论文主要围绕信息检索增强生成(Retrieval Augmented Generation,简称RAG)技术进行概述和分析。 背景痛点: >> 大语言模型(LLM)在处理知识密集型任务和回答离线知识更丰富的问题时面临...
Finally, Section 9 concludes the survey, offering insights into future directions in this field.2 Taxonomy As the research on the planning ability of LLM-based agents presents a flourishing scene, various methods have been proposed to exploit the upper limit of planning ability. To have a better...