Phi-4-reasoning-vision-15B Technical Report
Paper • 2603.03975 • Published • 19
Dmitry Ryumin
DmitryRyumin
AI & ML interests
Machine Learning and Applications, Multi-Modal Understanding
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Fine-Tuning MetaCLIP-2 for Image Classification on Downstream Tasks
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papers 5 months ago
SelectMix: Enhancing Label Noise Robustness through Targeted Sample Mixing
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Intra-Cluster Mixup: An Effective Data Augmentation Technique for Complementary-Label Learning
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Tongyi DeepResearch Technical Report
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Token Activation Map to Visually Explain Multimodal LLMs
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LoftUp: Learning a Coordinate-Based Feature Upsampler for Vision Foundation Models
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Knocking-Heads Attention
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E^2Rank: Your Text Embedding can Also be an Effective and Efficient Listwise Reranker
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Heavy Labels Out! Dataset Distillation with Label Space Lightening
Paper • 2408.08201 • Published • 21
AdaSPEC: Selective Knowledge Distillation for Efficient Speculative Decoders
Paper • 2510.19779 • Published • 62
Lumina-DiMOO: An Omni Diffusion Large Language Model for Multi-Modal Generation and Understanding
Paper • 2510.06308 • Published • 55
Ming-UniVision: Joint Image Understanding and Generation with a Unified Continuous Tokenizer
Paper • 2510.06590 • Published • 77
Cache-to-Cache: Direct Semantic Communication Between Large Language Models
Paper • 2510.03215 • Published • 99
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