This paper assumes significance by consolidating and organizing these diverse techniques into a comprehensive taxonomy. In essence, the contributions of this paper to the realm of LLM hallucination are threefold: 在当代计算语言学中,减轻幻觉是一个关键的焦点。研究人员提出了各种策略,包括语言模型生成中的...
[6] SM Tonmoy, SM Zaman, Vinija Jain, Anku Rani, Vipula Rawte, Aman Chadha, and AmitavaDas. A comprehensive survey of hallucination mitigation techniques in large language models.arXiv preprint arXiv:2401.01313, 2024. [7] Xuhui Jiang, Yuxing Tian, Fengrui Hua, Chengjin Xu, Yuanzhuo Wang,...
In this paper, we present a comprehensive survey of these studies, delivering a systematic review of LLM-based autonomous agents from a holistic perspective. We first discuss the construction of LLM-based autonomous agents, proposing a unified framework that encompasses much of previous work. Then,...
While AI hallucination continues to be a hot topic in scholarly discourse, there remains disagreement among researchers regarding the precise application of the term “hallucination”. While the term “hallucination” has gained acceptance among certain scholars for characterizing the irrational behaviors ex...
Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and BeyondarXiv26 Apr 2023Paper Domain Specialization as the Key to Make Large Language Models Disruptive: A Comprehensive SurveyarXiv30 May 2023Paper Several categories of Large Language Models (LLMs): A Short SurveyarXiv05 Jul ...
A Comprehensive Survey to Face Hallucination This paper comprehensively surveys the development of face hallucination (FH), including both face super-resolution and face sketch-photo synthesis techniq... N Wang,D Tao,X Gao,... - 《International Journal of Computer Vision》 被引量: 227发表: ...
This survey presents a comprehensive analysis of the phenomenon of hallucination in multimodal large language models (MLLMs), also known as Large Vision-Language Models (LVLMs), which have demonstrated significant advancements and remarkable abilities in multimodal tasks. Despite these promising development...
This paper presents a comprehensive survey of facial feature point detection with the assistance of abundant manually labeled images. Facial feature point detection favors many applications such as face recognition, animation, tracking, hallucination, expression analysis and 3D face modeling. Existing ...
Super-resolution, the process of obtaining one or more high-resolution images from one or more low-resolution observations, has been a very attractive rese
A Comprehensive Survey on Curriculum Learning A Comprehensive Survey on Curriculum Learning. 2020 论文地址:A Comprehensive Survey on Curriculum Learning 摘要:课程学习(CL)是一种训练策略,将机器学习模型从简单的数据训练成较… 郭达森发表于机器学习方... Why Machine Reading Comprehension Models Learn Shortcut...