Top Tweets for #MultiModalLLM
📢 We are pleased to invite submissions to the 2nd MUCG Workshop @ ECCV 2026!
🌐 https://t.co/klg6BbpWUz
📍 Malmö, Swede
📝 Submission Deadline: July 1, 2026
📚 Archival & Non-Archival Tracks
🏆 Best Paper Awards
#ECCV2026 #ECCV #MultimodalLLM #GenerativeAI #MUCG

Happy to introduce Robust-U1 #ICML — a framework that teaches MLLMs to self-recover corrupted visual content for robust understanding.
📄 Paper: https://t.co/qEg4uKQagq
💻 Code: https://t.co/mzbrhTruI2
🌍 Demo: https://t.co/biSy92E39i
#RobustAI #MultimodalLLM #ComputerVision
Happy to share that DYTO has been accepted to #ICCV2025 as a new SOTA in video understanding!
Try it out in your experiments and see how it measures up!
Paper: https://t.co/ATvvSiGcWn
Code: https://t.co/SINMWnEdG5
#MultimodalAI #MultimodalLLM #LargeLanguageModel #LLM #VisionLanguageModel #VLM #LVLM #LargeVisionLanguageModel #AIReasoning #ComputerVision #MachineLearning #DeepLearning #AIResearch #ICCV2025 #ICCV #CVPR
We've ( @Yiming1254115 @ZRChen_AISafety ) been wondering why so many existing video understanding approaches stick to uniformly sampling a fixed number of frames (e.g., 8) from an entire video sequence as input. So......
Introducing DYTO, a training-free framework that dynamically balances token efficiency and semantic richness. DYTO sets state-of-the-art performance across benchmarks with zero-shot adaptability. 🎥💡
Key Highlights:
🔹Hierarchical Frame Selection: Dynamically captures crucial events without rigid sampling.
🔹Bipartite Token Merging: Reduces token redundancy while preserving rich contextual details.
🔹Best-in-class Performance: Outperforms both fine-tuned & training-free methods.
Read more: https://t.co/gIkTzEpXfl
#AI #ML #VideoUnderstanding #LLM #MLLM #LVLM #ZeroShot #MultiModal

CMI-Bench bridges NLP and music information retrieval.
Let’s build smarter, fairer, and more musical LLMs!
#CMIBench #MusicAI #MultimodalLLM #AudioLLM #MIR #ISMIR2025 #Huggingface
Meet HPT 1.5 Air: A New Open-Sourced 8B #MultimodalLLM with #Llama3
#LargeLanguageModels #MLLMs #AI #ArtificialIntelligence #data
https://t.co/4Cz5P4Lb9J




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