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 Post-Hoc Rewards: Privileged Reasoning Exploration for Multimodal Embeddings

    Oct 23, 2026Tianyu Yang, Yijun Tian, Lars Benedikt Kaesberg +4Multimodal EmbeddingCross-Modal Retrieval

  2. OlmoEarth v1.3: Embeddings

    Oct 23, 2026Gabriel Tseng, Favyen Bastani, Patrick Alan Johnson +13Geospatial Representation LearningMultimodal Embedding

  3. pplx-embed-v2-late Technical Report

    Oct 21, 2026Markus Krimmel, Louis Milliken, Ekaterina Glazkova +8Multimodal EmbeddingMultimodal IR

  4. Inducing Fourier Geometry: A Smoothness Prior Imposes Approximate Translation Equivariance in Multimodal Stellar Embeddings

    Oct 16, 2026Ilay Kamai, Alex M. Bronstein, Hagai B. PeretsGeometric Representation LearningEquivariant Representation Learning

  5. Domain-specific language alignment of multimodal embeddings towards explainable predictions

    Oct 16, 2026Gabrielė Tijūnaitytė, Thijs L. van der Plas, Mohamed-Bachir Belaid +3Multimodal EmbeddingConcept-Based Explanations

  6. VTrajEmbed: Aligning Text with Video Object Trajectories via Spatiotemporal Embeddings

    Oct 16, 2026Ruizhi Chen, Zining Fan, Yudi Guo +5Multimodal EmbeddingVision-Language Retrieval

  7. TWIN-MoE: Two-stage Intra-Expert Imputation Network for Incomplete Multimodal Learning

    Oct 15, 2026Liang Nathan Zheng, Jiyuan Liu, Wenhao Liang +3Missing-Modality LearningMultimodal Learning

  8. Stuck on Shuffle: On Attribute-Object Binding in Vision-Language Models

    Oct 15, 2026Netanel Y. Tamir, Michael Green, Issar Tzachor +4Vision-Language RetrievalMultimodal Embedding

  9. CIM-Embed: Learning Instruction-Conditioned Multimodal Embeddings for Clustering

    Oct 15, 2026Yinghua Xu, Pengyang Xie, Yanxiang Zhou +4ClusteringMultimodal Embedding

  10. What Really Works for Universal Multimodal Embeddings? A Controlled Study of Contrastive Training Strategies

    Oct 10, 2026Duo Li, Haojun Pan, Zuhao Yang +4Multimodal EmbeddingMultimodal Contrastive Learning

  11. EarthAlign: Learning Language-Aligned Representations of Earth System Data

    Oct 10, 2026Fadillah Adamsyah Maani, Numan Saeed, Jiaqi Ma +4Cross-Modal Representation LearningMultimodal Embedding

  12. Autoregressive Retriever: Improving Query Understanding from Item Feedback for Universal Multimodal Retrieval

    Oct 8, 2026Jianfei Zhao, Yifan Wang, Feng Zhang +7Information RetrievalCross-Modal Retrieval

  13. Enhancing Long-Video VLM Embeddings with Query-Aware Streaming Latent Reasoning

    Oct 4, 2026Haozhe Chi, Song Jin, Yang Jin +1Multimodal EmbeddingVision-Language Retrieval

  14. World Embedding Benchmark

    Oct 2, 2026Yiqi Liu, Ruifeng Yuan, Yang Wang +7Physical Reasoning in VideoVideo Representation Learning

  15. Omni-Embed-Mini: Binding Modalities Without Forgetting via Dense Distillation

    Oct 1, 2026Mohammed Irfan Kurpath, Jaseel Muhammad Kaithakkodan, Sahal Shaji Mullappilly +2Cross-Modal Knowledge DistillationMultimodal Embedding

  16. Mutual Equilibrium: Multimodal Representation Learning through Reciprocal Feedback

    Sep 30, 2026Ho-min Park, Byungkon KangMultimodal GroundingMultimodal Embedding

  17. GATE-ST: Gene-Aware Text-image Encoder for Spatial Transcriptomics

    Sep 30, 2026Lucas Ni, Jian Luo, Wentao Huang +1Spatial TranscriptomicsMultimodal Embedding

  18. ResComEmb: Effective and Efficient Multimodal Embedding via Residual Homogeneity Compression

    Sep 29, 2026Zijing Cai, Yuzhe Wang, Jingxian Zhu +2Multimodal IRMultimodal Embedding

  19. Binding Multiple Modalities via Multimodal Wasserstein Barycenter

    Sep 27, 2026Xiaole Tang, Jiayi Xu, Xiang Gu +2Cross-Modal AlignmentMultimodal Embedding

  20. Learning Multimodal Embeddings with Evidence-Aligned Readout

    Sep 27, 2026Zirong Chen, Fuda Ye, Enjun Du +8Multimodal Large Language ModelsMultimodal Embedding

  21. VaME: Exploring Variational Latent Reasoning for Multimodal Embeddings

    Sep 27, 2026Peixi Wu, Mingzhou Jiang, Feipeng Ma +11Multimodal IREfficient Multimodal Inference

  22. BAT-CLIP: Trimodal Alignment of Brain, Audio and Text

    Sep 25, 2026Suhyun Kim, Jinmo Han, Danny Dongyeop Han +9Cross-Modal AlignmentMultimodal Embedding

  23. LAYERSCOPE: A Layerwise Characterization of Video and Multimodal Learned Representations

    Sep 23, 2026Sandra Arcos-Holzinger, Debashish Chakraborty, Rohita Mocharla +7Representation GeometryRepresentation Learning

  24. SCOUT: Sim-to-Real Text-Based Person Retrieval by Embedding-Space Prediction over Frozen Video Features

    Sep 16, 2026Abdarahmane Traoré, Andy Couturier, Éric HervetText-Based Person SearchSynthetic-to-Real Domain Adaptation

  25. Multi-modal Knowledge Preserving Adapter for Embedding Backward Compatibility

    Sep 15, 2026Jaeseok Byun, Gukyeong Kwon, Han-Kai Hsu +4Multimodal Large Language ModelsAdapter Tuning

  26. Hypergraph-Regularized Gramian Volumes for Multimodal Retrieval

    Sep 14, 2026Anindya Nag, Ambuj Mehrish, Sebastiano VasconMultimodal IRCross-Modal Alignment

  27. Reason What Matters: Retrieval-Grounded Reasoning for Universal Multimodal Embeddings

    Sep 14, 2026Mingzhou Jiang, Peixi Wu, Hang Cheng +7Multimodal IREfficient Multimodal Inference