{"total":37,"rows":[{"id":"2505.20256","title":"Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration","created":"2025-05-26","cited_by_count":41,"area":null},{"id":"2509.12662","title":"Chat-Driven Text Generation and Interaction for Person Retrieval","created":"2025-09-16","cited_by_count":34,"area":null},{"id":"2505.19650","title":"Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval","created":"2025-05-26","cited_by_count":26,"area":null},{"id":"2409.17692","title":"MIO: A Foundation Model on Multimodal Tokens","created":"2024-09-26","cited_by_count":24,"area":null},{"id":"2503.14963","title":"Continual Multimodal Contrastive Learning","created":"2025-03-19","cited_by_count":20,"area":null},{"id":"2507.17343","title":"Principled Multimodal Representation Learning","created":"2025-07-23","cited_by_count":19,"area":null},{"id":"2511.21331","title":"The More, the Merrier: Contrastive Fusion for Higher-Order Multimodal Alignment","created":"2025-11-26","cited_by_count":7,"area":null},{"id":"2410.02086","title":"Anchors Aweigh! Sail for Optimal Unified Multi-Modal Representations","created":"2024-10-02","cited_by_count":5,"area":null},{"id":"2504.10985","title":"DMPT: Decoupled Modality-aware Prompt Tuning for Multi-modal Object Re-identification","created":"2025-04-15","cited_by_count":4,"area":null},{"id":"2505.21524","title":"Learning Shared Representations from Unpaired Data","created":"2025-05-23","cited_by_count":4,"area":null},{"id":"2511.12034","title":"Calibrated Multimodal Representation Learning with Missing Modalities","created":"2025-11-15","cited_by_count":3,"area":null},{"id":"2603.02098","title":"Efficient and High-Fidelity Omni Modality Retrieval","created":"2026-03-02","cited_by_count":3,"area":null},{"id":"2607.18666","title":"Fusion Embedding: A Unified Embedding Space for Text, Image, Video, and Audio","created":"2026-07-21","cited_by_count":3,"area":null},{"id":"2511.11512","title":"Collaborative Representation Learning for Alignment of Tactile, Language, and Vision Modalities","created":"2025-11-14","cited_by_count":2,"area":null},{"id":"2601.08876","title":"The Semantic Lifecycle in Embodied AI: Acquisition, Representation and Storage via Foundation Models","created":"2026-01-12","cited_by_count":2,"area":null},{"id":"2602.03098","title":"TextME: Bridging Unseen Modalities Through Text Descriptions","created":"2026-02-03","cited_by_count":2,"area":null},{"id":"2604.11043","title":"EmergentBridge: Improving Zero-Shot Cross-Modal Transfer in Unified Multimodal Embedding Models","created":"2026-04-13","cited_by_count":2,"area":null},{"id":"2507.02771","title":"Grounding Intelligence in Movement","created":"2025-07-03","cited_by_count":1,"area":null},{"id":"2511.02946","title":"ProM3E: Probabilistic Masked MultiModal Embedding Model for Ecology","created":"2025-11-04","cited_by_count":1,"area":null},{"id":"2511.14229","title":"EBind: a practical approach to space binding","created":"2025-11-18","cited_by_count":1,"area":null},{"id":"2601.19247","title":"TIGaussian: Disentangle Gaussians for Spatial-Awared Text-Image-3D Alignment","created":"2026-01-27","cited_by_count":1,"area":null},{"id":"2609.33800","title":"Binding Multiple Modalities via Multimodal Wasserstein Barycenter","created":"2026-09-27","cited_by_count":1,"area":null},{"id":"2505.12734","title":"SounDiT: Geo-Contextual Soundscape-to-Landscape Generation","created":"2025-05-19","cited_by_count":0,"area":null},{"id":"2509.15693","title":"SCENEFORGE: Enhancing 3D-text alignment with Structured Scene Compositions","created":"2025-09-19","cited_by_count":0,"area":null},{"id":"2509.21365","title":"MAJORScore: A Novel Metric for Evaluating Multimodal Relevance via Joint Representation","created":"2025-09-22","cited_by_count":0,"area":null},{"id":"2512.18864","title":"Cross-modal Counterfactual Explanations: Uncovering Decision Factors and Dataset Biases in Subjective Classification","created":"2025-12-21","cited_by_count":0,"area":null},{"id":"2601.04563","title":"A Vision for Multisensory Intelligence: Sensing, Science, and Synergy","created":"2026-01-08","cited_by_count":0,"area":null},{"id":"2602.06451","title":"BrokenBind: Universal Modality Exploration beyond Dataset Boundaries","created":"2026-02-06","cited_by_count":0,"area":null},{"id":"2604.10666","title":"Omnimodal Dataset Distillation via High-order Proxy Alignment","created":"2026-04-12","cited_by_count":0,"area":null},{"id":"2605.18257","title":"CodeBind: Decoupled Representation Learning for Multimodal Alignment with Unified Compositional Codebook","created":"2026-05-18","cited_by_count":0,"area":null},{"id":"2605.29900","title":"OVA-IB: One vs All Information Bottleneck for Multi-Modal Alignment","created":"2026-05-28","cited_by_count":0,"area":null},{"id":"2606.09331","title":"Conan-embedding-v3: Fusing Modality-Specific Models for Omni-Modal Embedding","created":"2026-06-08","cited_by_count":0,"area":null},{"id":"2608.06516","title":"CertBind from Multimodal Connectivity to Certifiable Retrieval Decisions","created":"2026-08-06","cited_by_count":0,"area":null},{"id":"2609.15320","title":"Hypergraph-Regularized Gramian Volumes for Multimodal Retrieval","created":"2026-09-14","cited_by_count":0,"area":null},{"id":"2609.17094","title":"Hub-Spectral Activation of Latent Multimodal Knowledge","created":"2026-09-15","cited_by_count":0,"area":null},{"id":"2609.26182","title":"Modality-Gated Deep Adapters: Adding a Modality to a Frozen Embedding Model with Exact Preservation","created":"2026-08-10","cited_by_count":0,"area":null},{"id":"2610.15764","title":"SlotAVS: Object-Centric Audio-Visual Segmentation via Bi-Modal Slot Attention","created":"2026-10-11","cited_by_count":0,"area":null}],"next_cursor":null}