[[DyT.pdf|DyT]]

SimpleIsEffective

ChatKBQA

我的总结

THINK-ON-GRAPH2.0.pdf

[[MachineLearning/NLP/RAG/ThinkOnGraph/THINK-ON-GRAPH.pdf|THINK-ON-GRAPH]]

[[MachineLearning/NLP/RAG/FromLocalToGlobal/From Local to Globa.pdf|From Local to Globa]]

[[{{ file.path }}|{{ file.basename }}]]

[[MachineLearning/NLP/RAG/GFM-RAG.pdf|GFM-RAG]]

[[{{ file.path }}|{{ file.basename }}]]

[[GNN-RAG.pdf|GNN-RAG]]

[[MachineLearning/NLP/RAG/G-Retriever/G-Retriever.pdf|G-Retriever]]

[[MachineLearning/NLP/预训练大模型/Agent/MMedAgentg.pdf|MMedAgentg]]

[[MachineLearning/多模态/MLLM/BiomedParse/BiomedParse.pdf|BiomedParse]]

[[MachineLearning/NLP/预训练大模型/LLaMA/Vicuna.pdf|Vicuna]]

[[EVE.pdf|EVE]]

Normalizaiton

[[Vitron.pdf|Vitron]]

OFA-达摩院多模态模型

Achieving Cross Modal Generalization with Multimodal Unified Representation

Embracing Unimodal Aleatoric Uncertainty for Robust Multimodal Fusion

Missing Modality Prediction for Unpaired Multimodal Learning via Joint Embedding of Unimodal Models

Predictive Dynamic Fusion

DilateFormer:Multi-Scale Dilated Transformer for Visual Recognition

基于变形detr和多层次特征融合的精确白细胞检测，以辅助血液疾病的诊断

M2SNet:Multi-scale in Multi-scale Subtraction Network for Medical Image Segmentation

Cascade Fusion Network for Dense Prediction

Pyraformer

基于多尺度特征提取的时间序列预测

混合专家模型

[[StableDiffusion3.pdf|StableDiffusion3]]