[NAACL 2025] KnowAgent: Knowledge-Augmented Planning for LLM-Based Agents zjunlp.github.io/project/KnowAgent/ Topics nlp agent machine-learning natural-language-processing artificial-intelligence planning knowledge-graph reasoning planning-agents agent-learning large-language-models llm knowledge-augment ...
JARVIS-1: Open-World Multi-task Agents with Memory-Augmented Multimodal Language Models Arxiv 2023-11 Explore, select, derive, and recall: Augmenting llm with human-like memory for mobile task automation Arxiv 2023-12 AppAgent: Multimodal Agents as Smartphone Users Arxiv 2023-12 Multimodal Embodi...
[文献翻译] Retrieval-Augmented Generation for Natural Language Processing: A Survey 自然语言处理中的检索增强生成RAG:综述摘要大语言模型 (LLMs) 在各个领域都取得了巨大的成功,这得益于它们存储知识的巨大参数量。然而,LLMs 仍然存在一些关键问题,例如幻觉问题、知识更… 李常青 【EMNLP 2019】Language Models as...
In this work, we introduce RECIPE, a RetriEval-augmented ContInuous Prompt lEarning method, to boost editing efficacy and inference efficiency in lifelong learning. RECIPE first converts knowledge statements into short and informative continuous prompts, prefixed to the LLM's input query embedding, to...
我们通过一种通用的微调方法,为预训练的参数化内存生成模型赋予了非参数化内存,我们称之为检索增强生成(Retrieval-Augmented Generation,RAG)。我们构建了RAG模型,其中参数化内存是预训练的seq2seq transformer,非参数化内存是维基百科的稠密向量索引,通过预训练的神经检索器进行访问。我们将这些组件组合在一个端到端的概...
Playwright 是一款开源浏览器自动化框架,提供了跨浏览器的自动化测试和网页交互能力。而 Playwright MCP Server 则是基于 MCP 协议为大语言模型(LLM)提供了使用 Playwright 进行浏览器自动化的能力。具有以下核心功能: 网页导航与交互:允许 AI 模型打开网页、点击按钮、填...
When building LLM applications, it is often necessary to connect and query external data sources to provide relevant context to the model. One popular approach is using Retrieval Augmented Generation (RAG) to create Q&A systems that comprehend complex information and provide natural...
The Neo4j Vector Index has emerged as a pivotal tool in the realm of retrieval-augmented generation (RAG) applications, particularly in handling both structured and unstructured data. The opens in new tabLangChain library, a prominent framework for building Large Language Model (LLM) applications, ...
the process can identify which parts of the text correspond with certain properties. Alexandria performs unsupervised learning to create templates from both structured and unstructured text, and the model can readily work with thousands of templates. To improve coverage, templates can be au...
知识增强下的智能体规划 KnowAgent Knowledge-Augmented Planning for LLM-Based Agents.pdf,KnowAgent: Knowledge-Augmented Planning for LLM-Based Agents Yuqi Zhu♣♡ , Shuofei Qiao♣♡ , Yixin Ou♣♡ , Shumin Deng♠, Shiwei Lyu♢, Yue Shen