we introduce a highly effective retrieval-augmented image captioning method that prompts LLMs with object names retrieved from External Visual--name memory (EVCap). We build ever-changing object knowledge memory using objects' visuals and names, enabling us to (i) update the memory at a minimal...
RPG:检索代表性图像以构建上下文示例,利用链式思维推理规划补充子区域进行复合文本到图像扩散。 图像描述生成(Image Captioning): 定义:图像描述生成是指为图像生成文本描述的过程。 优势:检索增强的图像描述生成通常结合了从检索中获得的描述进行合成。 技术: MA:通过历史上下文和图像-文本训练集的目标词构建内存库,并根...
主打的是检索增强,有益于zero-shot 和 few-shot image captioning. 方法 可视化例子实验结果zero-shotn-shotfine-tune 相似的工作检索增强SMALLCAP: Lightweight Image Captioning Prompted with Retrieval Augme…
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Memory-augmented image captioning Retrieval-based neural source code summarization Efficient nearest neighbor language models Nonparametric masked language modeling Editsum:A retrieve-and-edit framework for source code summarization Speculative RAG REST: Retrieval-Based Speculative Decoding ...
Memory-augmented image captioning Retrieval-based neural source code summarization Speculative RAG REST: Retrieval-Based Speculative Decoding GPTCache RAG Enhancements Input Enhancement Query Transformations Query2doc: Query Expansion with Large Language Models ...
Concretely, RAMP treats the retrieved captions as reference captions to augment the discriminator during adversarial training, encouraging the image captioning model (generator) to incorporate informative content in retrieved captions into the generated caption. In addition, a retrieval-enhanced dynamic ...
In this paper, (1) we develop EgoInstructor, a retrieval-augmented multimodal captioning model that automatically retrieves semantically relevant third-person ... J Xu,Y Huang,J Hou,... - IEEE/CVF Conference on Computer Vision & Pattern Recognition 被引量: 0发表: 0年 OGB: A Distinctive an...
While automated audio captioning (AAC) has made notable progress, traditional fully supervised AAC models still face two critical challenges: the need for ... X Li,W Chen,Z Ma,... 被引量: 0发表: 2024年 Retrieval Augmented Generation for Dynamic Graph Modeling Dynamic graph modeling is crucial...
优化数据索引(Optimizing Data Indexing)。优化数据索引的目标是提高被索引内容的质量。这涉及五个主要策略:增强数据粒度(enhancing data granularity)、优化索引结构(optimizing index structures)、添加元数据(adding metadata)、对齐优化(alignment optimization)和混合检索(mixed retrieval)。