Hugging Face Trending Papers
WeMM-Embedding: WeChat Multi-Modal Embedding Technical Report
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arXiv Computer Vision
Aug 26
WeMM-Embedding: WeChat Multi-Modal Embedding Technical Report
arXiv:2608.24053v1 Announce Type: new Abstract: Universal multimodal embeddings are becoming a core component of modern AI systems, enabling heterogeneous content to be represented in a shared space...
arXiv AI
Jun 16
MMLongEmbed: Benchmarking Multimodal Embedding Models in Long-Context Scenarios
arXiv:2606. 14747v1 Announce Type: cross Abstract: Recent advancements have significantly expanded the theoretical context windows of Multimodal Embedding Models (MEMs).
arXiv AI
Jun 30
Multimodal Representation Alignment for Cross-modal Information Retrieval
arXiv:2506. 08774v2 Announce Type: replace-cross Abstract: Different machine learning models can represent the same underlying concept in different ways.
Hugging Face Trending Papers
Aug 5
CoCo-IR: Contextual Composed Image Retrieval
Current instruction-based image retrieval systems are powerful but limited to single-turn interactions, failing to capture the iterative nature of complex, real-world visual searches. To overcome this limitation, we introduce Contextual Composed Image Retrieval (CoCo-IR), a novel task that enables users to progressively refine search results through interactions.
arXiv AI
Jul 21
LookME: Lookup-Based Multimodal Embeddings for Layer Injection in Vision-Language Models
arXiv:2607. 16305v1 Announce Type: cross Abstract: Vision-Language Models (VLMs) have achieved strong progress in multimodal understanding.
arXiv AI
Jul 7
EGRA:Toward Enhanced Behavior Graphs and Representation Alignment for Multimodal Recommendation
arXiv:2508. 16170v2 Announce Type: replace-cross Abstract: MultiModal Recommendation (MMR) systems have emerged as a promising solution for improving recommendation quality by leveraging rich item-side modality information, prompting a surge of diverse methods.