Summary of Attention Prompting on Image For Large Vision-language Models, by Runpeng Yu and Weihao Yu and Xinchao Wang
Attention Prompting on Image for Large Vision-Language Modelsby Runpeng Yu, Weihao Yu, Xinchao WangFirst submitted…
Summary of The Overfocusing Bias Of Convolutional Neural Networks: a Saliency-guided Regularization Approach, by David Bertoin et al.
The Overfocusing Bias of Convolutional Neural Networks: A Saliency-Guided Regularization Approachby David Bertoin, Eduardo Hugo…
Summary of Agregnet: a Deep Regression Network For Flower and Fruit Density Estimation, Localization, and Counting in Orchards, by Uddhav Bhattarai et al.
AgRegNet: A Deep Regression Network for Flower and Fruit Density Estimation, Localization, and Counting in…
Summary of Harnessing Diversity For Important Data Selection in Pretraining Large Language Models, by Chi Zhang et al.
Harnessing Diversity for Important Data Selection in Pretraining Large Language Modelsby Chi Zhang, Huaping Zhong,…
Summary of Beyond Text-to-text: An Overview Of Multimodal and Generative Artificial Intelligence For Education Using Topic Modeling, by Ville Heilala et al.
Beyond Text-to-Text: An Overview of Multimodal and Generative Artificial Intelligence for Education Using Topic Modelingby…
Summary of Neuromorphic Drone Detection: An Event-rgb Multimodal Approach, by Gabriele Magrini et al.
Neuromorphic Drone Detection: an Event-RGB Multimodal Approachby Gabriele Magrini, Federico Becattini, Pietro Pala, Alberto Del…
Summary of Pixelbytes: Catching Unified Embedding For Multimodal Generation, by Fabien Furfaro
PixelBytes: Catching Unified Embedding for Multimodal Generationby Fabien FurfaroFirst submitted to arxiv on: 3 Sep…
Summary of 60 Data Points Are Sufficient to Fine-tune Llms For Question-answering, by Junjie Ye et al.
60 Data Points are Sufficient to Fine-Tune LLMs for Question-Answeringby Junjie Ye, Yuming Yang, Qi…
Summary of Retrieval Augmented Generation (rag) and Beyond: a Comprehensive Survey on How to Make Your Llms Use External Data More Wisely, by Siyun Zhao et al.
Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs…
Summary of Inference-friendly Models with Mixattention, by Shashank Rajput et al.
Inference-Friendly Models With MixAttentionby Shashank Rajput, Ying Sheng, Sean Owen, Vitaliy ChileyFirst submitted to arxiv…