A Survey of Large Language Models 以下是该文档的关键内容: 自图灵测试提出以来,人类一直在探索机器如何掌握语言智能。近年来,预训练语言模型(PLM)通过在大规模语料库上预训练Transformer模型,成为语言理解和生成的主要方法,并在各种自然语言处理(NLP)任务中展现出强大的能力。随着模型规模的增加,模型能力也在不断提高...
首先,从客观计算到人机互动测试的转变,允许在评估过程中获得更多人类反馈。AdaVision是一个用于测试视觉模型的交互过程,可以帮助用户为模型的正确性标记少量数据,并帮助用户识别和修复一致的失败模式。在AdaTest中,用户通过仅选择高质量的测试样本并将它们组织成语义相关的主题来筛选测试样本。 其次,从静态到众包测试集的...
Software Testing with Large Language Model: Survey, Landscape, and VisionPre-trained large language models (LLMs) have recently emerged as a breakthrough technology in natural language processing and artificial intelligence, with the ability... J Wang,Y Huang,C Chen,... - 《Arxiv》 被引量: ...
A survey on evaluation of large language models. ACM Transactions on Intelligent Systems and Technology, 2023, doi: https://doi.org/10.1145/3641289 Chang T A, Bergen B K. Language model behavior: a comprehensive survey. Computational Linguistics, 2024, doi: https://doi.org/10.1162/coli_a_...
论文地址:Retrieval-Augmented Generation for Large Language Models: A Survey|PPT 注: 主要是了解RAG的发展过程(召回率),以及对相关子模块领域的现阶段了解,如果感兴趣,通过索引到论文引用处进一步了解。(提高看相应论文的准确率) 第1章:引言 大型语言模型(LLMs)如GPT系列和LLama系列在自然语言处理方面取得了显著...
Software Engineering Large Language Models Meet NL2Code: A Survey arXiv 01 Jul 2023 Paper Software Testing with Large Language Model: Survey, Landscape, and Vision arXiv 14 Jul 2023 Paper Towards Understanding the Capability of Large Language Models on Code Clone Detection: A Survey arXiv 02 Aug...
其中World Model Simulator和model-based RL里的model类似,这里主要指用transformer的结构学一个world model。这个model可以用来做trajectory rollout生成更多的样本,或者学习dynamic的表征。Policy Interpreter是说LLM可以分析或者解释一下当前策略行为的意义,方向往可解释性强化学习靠近(LLMs can be prompts to generate ...
The resources related to the trustworthiness of large models (LMs) across multiple dimensions (e.g., safety, security, and privacy), with a special focus on multi-modal LMs (e.g., vision-language models and diffusion models). This repo is in progress 🌱 (currently manually collected). Ba...
Scene interpretation and model-based image processing results in 3D-geometry data of the workpiece and its position and orientation in an absolute coordinate system. The achieved accuracy is satisfactory for the application, typically a robotic production environment. Here the Vision Survey System can ...
allowing language models to gather and integrate contextual information for context-conditioned planning. Additionally, Shah et al. (2023b) study training a general goal-conditioned model to simulate human-like vision-based navigation, demonstrating the broad generalization capabilities of LLMs in complex...