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References (40)

[1]
Qwen3-VL-Embedding and Qwen3-VL-Reranker: A Unified Framework for State-of-the-Art Multimodal Retrieval and Ranking
2026Mingxin Li, Yanzhao Zhang et al.
[2]
UIT-OpenViIC: An open-domain benchmark for evaluating image captioning in Vietnamese
2025D. C. Bui, Nghia Hieu Nguyen et al.
[3]
EmbeddingGemma: Powerful and Lightweight Text Representations
2025Henrique Schechter Vera, Sahil Dua et al.
[4]
Pull It Together: Reducing the Modality Gap in Contrastive Learning
2025Amit Sofer, Y. Goldman et al.
[5]
jina-embeddings-v4: Universal Embeddings for Multimodal Multilingual Retrieval
2025Michael Günther, Saba Sturua et al.
[6]
Distill CLIP (DCLIP): Enhancing Image-Text Retrieval via Cross-Modal Transformer Distillation
2025Daniel Csizmadia, Andrei Codreanu et al.
[7]
ELIP: Enhanced Visual-Language Foundation Models for Image Retrieval
2025Guanqi Zhan, Yuanpei Liu et al.
[8]
Explaining and Mitigating the Modality Gap in Contrastive Multimodal Learning
2024Can Yaras, Siyi Chen et al.
[9]
Multimodal Fake News Detection with Contrastive Learning and Optimal Transport
2024Xiaorong Shen, Maowei Huang et al.
[10]
Optimizing CLIP Models for Image Retrieval with Maintained Joint-Embedding Alignment
2024Konstantin Schall, Kai Barthel et al.
[11]
A comprehensive survey on contrastive learning
2024Haigen Hu, Xiaoyuan Wang et al.
[12]
M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation
2024Jianlv Chen, Shitao Xiao et al.
[13]
Continual learning for cross-modal image-text retrieval based on domain-selective attention
2024Rui Yang, Shuang Wang et al.
[14]
Recent Advances in Optimal Transport for Machine Learning
2023Eduardo Fernandes Montesuma, Fred Ngolè Mboula et al.
[15]
Scalable Optimal Transport Methods in Machine Learning: A Contemporary Survey.
2023Abdelwahed Khamis, Russell Tsuchida et al.
[16]
Sigmoid Loss for Language Image Pre-Training
2023Xiaohua Zhai, Basil Mustafa et al.
[17]
Understanding and Generalizing Contrastive Learning from the Inverse Optimal Transport Perspective
2023Liangliang Shi, Gu Zhang et al.
[18]
MTEB: Massive Text Embedding Benchmark
2022Niklas Muennighoff, Nouamane Tazi et al.
[19]
CyCLIP: Cyclic Contrastive Language-Image Pretraining
2022Shashank Goel, Hritik Bansal et al.
[20]
Crossmodal-3600: A Massively Multilingual Multimodal Evaluation Dataset
2022Ashish V. Thapliyal, J. Pont-Tuset et al.

Showing 20 of 40 references

Founder's Pitch

"A vision-language model for Vietnamese image-text retrieval using innovative loss functions to boost performance in low-resource settings."

Vision-Language ModelsScore: 5View PDF ↗

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2/4 signals

5

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4/4 signals

10

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2.5

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