#Multimodal Learning
Latest news articles tagged with "Multimodal Learning". Follow the timeline of events, related topics, and entities.
Articles (23)
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🇺🇸 VSSFlow: Unifying Video-conditioned Sound and Speech Generation via Joint Learning
[USA]
arXiv:2509.24773v4 Announce Type: replace-cross Abstract: Video-conditioned audio generation, including Video-to-Sound (V2S) and Visual Text-to-Speech (VisualTTS), has traditionally been treated as d...
Related: #AI Audio Generation -
🇺🇸 Diffusion-Guided Semantic Consistency for Multimodal Heterogeneity
[USA]
arXiv:2603.19337v1 Announce Type: cross Abstract: Federated learning (FL) is severely challenged by non-independent and identically distributed (non-IID) client data, a problem that degrades global m...
Related: #AI Consistency -
🇺🇸 Enhancing Alignment for Unified Multimodal Models via Semantically-Grounded Supervision
[USA]
arXiv:2603.19807v1 Announce Type: cross Abstract: Unified Multimodal Models (UMMs) have emerged as a promising paradigm that integrates multimodal understanding and generation within a unified modeli...
Related: #AI Research -
🇺🇸 Insight-V++: Towards Advanced Long-Chain Visual Reasoning with Multimodal Large Language Models
[USA]
arXiv:2603.18118v1 Announce Type: cross Abstract: Large Language Models (LLMs) have achieved remarkable reliability and advanced capabilities through extended test-time reasoning. However, extending ...
Related: #AI Research -
🇺🇸 PhysQuantAgent: An Inference Pipeline of Mass Estimation for Vision-Language Models
[USA]
arXiv:2603.16958v1 Announce Type: cross Abstract: Vision-Language Models (VLMs) are increasingly applied to robotic perception and manipulation, yet their ability to infer physical properties require...
Related: #AI Research -
🇺🇸 Parallel In-context Learning for Large Vision Language Models
[USA]
arXiv:2603.16092v1 Announce Type: cross Abstract: Large vision-language models (LVLMs) employ multi-modal in-context learning (MM-ICL) to adapt to new tasks by leveraging demonstration examples. Whil...
Related: #AI Efficiency -
🇺🇸 CAMEL-CLIP: Channel-aware Multimodal Electroencephalography-text Alignment for Generalizable Brain Foundation Models
[USA]
arXiv:2603.13272v1 Announce Type: cross Abstract: Electroencephalography (EEG) foundation models have shown promise for learning generalizable representations, yet they remain sensitive to channel he...
Related: #Neuroscience AI -
🇺🇸 Feature-level Interaction Explanations in Multimodal Transformers
[USA]
arXiv:2603.13326v1 Announce Type: cross Abstract: Multimodal Transformers often produce predictions without clarifying how different modalities jointly support a decision. Most existing multimodal ex...
Related: #AI Explainability -
🇺🇸 VLM4Rec: Multimodal Semantic Representation for Recommendation with Large Vision-Language Models
[USA]
arXiv:2603.12625v1 Announce Type: cross Abstract: Multimodal recommendation is commonly framed as a feature fusion problem, where textual and visual signals are combined to better model user preferen...
Related: #AI Recommendation -
🇺🇸 From Text to Forecasts: Bridging Modality Gap with Temporal Evolution Semantic Space
[USA]
arXiv:2603.12664v1 Announce Type: cross Abstract: Incorporating textual information into time-series forecasting holds promise for addressing event-driven non-stationarity; however, a fundamental mod...
Related: #AI Forecasting -
🇺🇸 PaLMR: Towards Faithful Visual Reasoning via Multimodal Process Alignment
[USA]
arXiv:2603.06652v1 Announce Type: cross Abstract: Reinforcement learning has recently improved the reasoning ability of Large Language Models and Multimodal LLMs, yet prevailing reward designs emphas...
Related: #AI Research -
🇺🇸 CMMR-VLN: Vision-and-Language Navigation via Continual Multimodal Memory Retrieval
[USA]
arXiv:2603.07997v1 Announce Type: new Abstract: Although large language models (LLMs) are introduced into vision-and-language navigation (VLN) to improve instruction comprehension and generalization,...
Related: #AI Navigation -
🇺🇸 Chart Deep Research in LVLMs via Parallel Relative Policy Optimization
[USA]
arXiv:2603.06677v1 Announce Type: cross Abstract: With the rapid advancement of data science, charts have evolved from simple numerical presentation tools to essential instruments for insight discove...
Related: #AI Research -
🇺🇸 Place-it-R1: Unlocking Environment-aware Reasoning Potential of MLLM for Video Object Insertion
[USA]
arXiv:2603.06140v1 Announce Type: cross Abstract: Modern video editing techniques have achieved high visual fidelity when inserting video objects. However, they focus on optimizing visual fidelity ra...
Related: #AI Video Editing -
🇺🇸 Cut to the Chase: Training-free Multimodal Summarization via Chain-of-Events
[USA]
arXiv:2603.06213v1 Announce Type: cross Abstract: Multimodal Summarization (MMS) aims to generate concise textual summaries by understanding and integrating information across videos, transcripts, an...
Related: #AI Summarization -
🇺🇸 TSEmbed: Unlocking Task Scaling in Universal Multimodal Embeddings
[USA]
arXiv:2603.04772v1 Announce Type: cross Abstract: Despite the exceptional reasoning capabilities of Multimodal Large Language Models (MLLMs), their adaptation into universal embedding models is signi...
Related: #AI Research -
🇺🇸 K-Gen: A Multimodal Language-Conditioned Approach for Interpretable Keypoint-Guided Trajectory Generation
[USA]
arXiv:2603.04868v1 Announce Type: new Abstract: Generating realistic and diverse trajectories is a critical challenge in autonomous driving simulation. While Large Language Models (LLMs) show promise...
Related: #AI Trajectory Generation -
🇺🇸 MMKG-RDS: Reasoning Data Synthesis via Deep Mining of Multimodal Knowledge Graphs
[USA]
arXiv:2602.23632v1 Announce Type: new Abstract: Synthesizing high-quality training data is crucial for enhancing domain models' reasoning abilities. Existing methods face limitations in long-tail kno...
Related: #Artificial Intelligence, #Knowledge Graphs, #Data Synthesis, #Machine Learning Benchmarking -
🇺🇸 The Trinity of Consistency as a Defining Principle for General World Models
[USA]
arXiv:2602.23152v1 Announce Type: new Abstract: The construction of World Models capable of learning, simulating, and reasoning about objective physical laws constitutes a foundational challenge in t...
Related: #Artificial Intelligence, #World Modeling, #Theoretical Framework -
🇺🇸 MultiModalPFN: Extending Prior-Data Fitted Networks for Multimodal Tabular Learning
[USA]
arXiv:2602.20223v1 Announce Type: cross Abstract: Recently, TabPFN has gained attention as a foundation model for tabular data. However, it struggles to integrate heterogeneous modalities such as ima...
Related: #Machine Learning, #Foundation Models, #Data Integration -
🇺🇸 Investigating Redundancy in Multimodal Large Language Models with Multiple Vision Encoders
[USA]
arXiv:2507.03262v4 Announce Type: replace-cross Abstract: Recent multimodal large language models (MLLMs) increasingly integrate multiple vision encoders to improve performance on various benchmarks,...
Related: #AI Efficiency, #Model Optimization -
🇺🇸 Explaining and Mitigating the Modality Gap in Contrastive Multimodal Learning
[USA]
arXiv:2412.07909v2 Announce Type: replace-cross Abstract: Multimodal learning has recently gained significant popularity, demonstrating impressive performance across various zero-shot classification ...
Related: #AI Research, #Model Improvement -
🇺🇸 MedXIAOHE: A Comprehensive Recipe for Building Medical MLLMs
[USA]
arXiv:2602.12705v1 Announce Type: cross Abstract: We present MedXIAOHE, a medical vision-language foundation model designed to advance general-purpose medical understanding and reasoning in real-worl...
Related: #Medical AI, #Healthcare Technology
Key Entities (8)
- Multimodal learning (3 news)
- Clip (1 news)
- Artificial intelligence (1 news)
- TabPFN (1 news)
- Machine learning (1 news)
- Redundancy (1 news)
- Artificial general intelligence (1 news)
- AI agent (1 news)
About the topic: Multimodal Learning
The topic "Multimodal Learning" aggregates 23+ news articles from various countries.