Overview

Multimodal embedding studies how to represent different kinds of data so that related items are close in a shared space, enabling tasks such as cross-modal search, recommendation, and classification. Common approaches include contrastive dual encoders, instruction-tuned multimodal language models, and alignment methods based on graphs or optimal transport; multi-vector and late-interaction representations can retain finer detail than a single vector. Benchmarks such as MMEB, ViDoRe, and audio- and video-retrieval suites test these models across tasks and modalities, while newer methods explore compressed representations and latent reasoning to improve quality without costly inference. A central challenge is balancing broad, zero-shot capability with fine-grained, task-specific information, while keeping representations efficient and robust when modalities are missing or unevenly informative.

Latest papers

CardsList

160 papers19 papers in the last four weeks, up 6% on the four weeks before. 0.1% of all new papers.

  1. Beyond Chain-of-Thought: Rewrite as a Universal Interface for Generative Multimodal Embeddings

    Apr 24, 2026Peixi Wu, Ke Mei, Feipeng Ma +15Cross-Modal AlignmentMultimodal Embedding

  2. SIMMER: Cross-Modal Food Image--Recipe Retrieval via MLLM-Based Embedding

    Apr 17, 2026Keisuke Gomi, Keiji YanaiCross-Modal LearningImage-Text Retrieval

  3. SLQ: Bridging Modalities via Shared Latent Queries for Retrieval with Frozen MLLMs

    Apr 15, 2026Haoran Lou, Ziyan Liu, Chunxiao Fan +6Multimodal IRCross-Modal Retrieval

  4. UNIGEOCLIP: Unified Geospatial Contrastive Learning

    Apr 13, 2026Guillaume Astruc, Eduard Trulls, Jan Hosang +2Geospatial Representation LearningMultimodal Embedding

  5. Bottleneck Tokens for Unified Multimodal Retrieval

    Apr 13, 2026Siyu Sun, Jing Ren, Zhaohe Liao +8Multimodal IRMultimodal Embedding

  6. EmergentBridge: Improving Zero-Shot Cross-Modal Transfer in Unified Multimodal Embedding Models

    Apr 13, 2026Jincheng Xie, Xingchen Xiao, Runheng Liu +3Cross-Modal LearningMultimodal Embedding

  7. MMEmb-R1: Reasoning-Enhanced Multimodal Embedding with Pair-Aware Selection and Adaptive Control

    Apr 7, 2026Yuchi Wang, Dingkang Yang, Haiyang Yu +5Multimodal EmbeddingMultimodal Reasoning

  8. Hierarchical Co-Embedding of Font Shapes and Impression Tags

    Apr 5, 2026Yugo Kubota, Kaito Shiku, Seiichi UchidaMultimodal EmbeddingVision-Language Retrieval

  9. PLUME: Latent Reasoning Based Universal Multimodal Embedding

    Apr 2, 2026Chenwei He, Xiangzhao Hao, Tianyu Yang +6Multimodal EmbeddingMultimodal IR

  10. Assessing Multimodal Chronic Wound Embeddings with Expert Triplet Agreement

    Mar 31, 2026Fabian Kabus, Julia Hindel, Jelena Bratulić +6Medical Image RetrievalMultimodal Embedding

  11. Is the Modality Gap a Bug or a Feature? A Robustness Perspective

    Mar 30, 2026Rhea Chowers, Oshri Naparstek, Udi Barzelay +1Modality Gap in VLMsMultimodal Embedding

  12. BioVITA: Biological Dataset, Model, and Benchmark for Visual-Textual-Acoustic Alignment

    Mar 25, 2026Risa Shinoda, Kaede Shiohara, Nakamasa Inoue +3Cross-Modal AlignmentMultimodal Embedding

  13. VLM2Rec: Resolving Modality Collapse in Vision-Language Model Embedders for Multimodal Sequential Recommendation

    Mar 18, 2026Junyoung Kim, Woojoo Kim, Wonbin Kweon +3Multimodal RecommendationMultimodal Embedding

  14. Anchored Alignment: Preventing Positional Collapse in Multimodal Recommender Systems

    Mar 13, 2026Yonghun Jeong, David Yoon Suk Kang, Yeon-Chang LeeMultimodal RecommendationCross-Modal Alignment

  15. VLM4Rec: Multimodal Semantic Representation for Recommendation with Large Vision-Language Models

    Mar 13, 2026Ty Valencia, Burak Barlas, Varun Singhal +2Multimodal RecommendationMultimodal Embedding

  16. Multimodal Graph Representation Learning with Dynamic Information Pathways

    Mar 10, 2026Xiaobin Hong, Mingkai Lin, Xiaoli Wang +2Multimodal Graph LearningMultimodal Embedding

  17. TSEmbed: Unlocking Task Scaling in Universal Multimodal Embeddings

    Mar 5, 2026Yebo Wu, Feng Liu, Ziwei Xie +4Multimodal EmbeddingMultimodal Disentangled Representation Learning

  18. PinCLIP: Large-scale Foundational Multimodal Representation at Pinterest

    Mar 3, 2026Josh Beal, Eric Kim, Jinfeng Rao +3Multimodal EmbeddingMultimodal IR

  19. TRACE: Task-Adaptive Reasoning and Representation Learning for Universal Multimodal Retrieval

    Mar 3, 2026Xiangzhao Hao, Shijie Wang, Tianyu Yang +3Multimodal IRMultimodal Embedding

  20. Efficient and High-Fidelity Omni Modality Retrieval

    Mar 2, 2026Chuong Huynh, Manh Luong, Abhinav ShrivastavaMultimodal IRCross-Modal Retrieval

  21. Beyond the Grid: Layout-Informed Multi-Vector Retrieval with Parsed Visual Document Representations

    Mar 2, 2026Yibo Yan, Mingdong Ou, Yi Cao +6Visual Document RetrievalMulti-Vector Retrieval

  22. IDProxy: CTR Prediction with Multimodal LLMs for Cold-Start Recommendation at Xiaohongshu

    Mar 2, 2026Yubin Zhang, Haiming Xu, Guillaume Salha-Galvan +6Cold-Start RecommendationMultimodal Embedding

  23. Reconstructing Content with Collaborative Attention for Universal Multimodal Representation Learning

    Mar 2, 2026Jiahan Chen, Da Li, Hengran Zhang +6Multimodal EmbeddingMultimodal Learning

  24. SOTAlign: Semi-Supervised Alignment of Unimodal Vision and Language Models via Optimal Transport

    Feb 26, 2026Simon Roschmann, Paul Krzakala, Sonia Mazelet +2Cross-Modal LearningMultimodal Embedding

  25. Unlocking Multimodal Document Intelligence: From Current Triumphs to Future Frontiers of Visual Document Retrieval

    Feb 23, 2026Yibo Yan, Jiahao Huo, Guanbo Feng +12Multimodal RAGMultimodal IR