Multimodal Representation Learning Conditioned on Semantic Relations
cs.LG, cs.AI
Submitted: 2025-08-24
Updated: 2026-10-01
Terminology
Sources
- Exploring Visual Prompts for Adapting Large-Scale Models
- SynthCLIP: Are We Ready for a Fully Synthetic CLIP Training?
- LLM2CLIP: Powerful Language Model Unlocks Richer Cross-Modality Representation
- VLM2Vec: Training Vision-Language Models for Massive Multimodal Embedding Tasks
- Logic-guided Semantic Representation Learning for Zero-Shot Relation Classification
- What If We Recaption Billions of Web Images with LLaMA-3?
- Supervision Exists Everywhere: A Data Efficient Contrastive Language-Image Pre-training Paradigm
- CLIPS: An Enhanced CLIP Framework for Learning with Synthetic Captions
- Deep Identification of Propagation Trees
- VLM2Vec-V2: Advancing Multimodal Embedding for Videos, Images, and Visual Documents
- EVA-CLIP: Improved Training Techniques for CLIP at Scale
- GME: Improving Universal Multimodal Retrieval by Multimodal LLMs
- Multi-domain Knowledge Graph Collaborative Pre-training and Prompt Tuning for Diverse Downstream Tasks
- AnomalyCLIP: Object-agnostic Prompt Learning for Zero-shot Anomaly Detection
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