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Arsalan Zafar PRO

ArsalanZ
5
·
https://www.arsalanzafar.ai/

AI & ML interests

LLMs, VLMs, Video Compression

Recent Activity

liked a model about 11 hours ago
Cactus-Compute/nemotron-3.5-120b-cq
reacted to Jiaqi-hkust's post with 🧠 about 13 hours ago
We reshaped how VLMs connect vision to language! One simple architectural change → dramatically better visual information injection into the LLM. Accepted at NeurIPS. Check it out 👇 📄 https://arxiv.org/abs/2611.06844 💻 https://github.com/YingyingYan1/DGP #NeurIPS #VLM #MLLM #ViT
reacted to kalyan-ks's post with 🧠 about 13 hours ago
Replace k-means clustering algorithm with e-means algorithm Paper - https://arxiv.org/abs/2611.09501 Lloyd's k-means algorithm is a standard ML algorithm for clustering. This paper introduces e-means clustering algorithm which is [1] much faster than Lloyd k-means and [2] converges to lower losses, frequently even beating k-means++. On a wide array of embeddings datasets, it beats the loss of Lloyd k-means at 25 epochs in 1.4 to 2.6 epochs, As an example, e-means partitions DINO10B, a dataset of 10 billion DINO embeddings, into 16 million clusters in only 2.5 epochs, reaching a loss below Lloyd's at 25 epochs.
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