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Video editing has always had a dirty secret: removing an object from footage is easy; making the scene look like...
arXiv:2604.00130v1 Announce Type: new Abstract: Chain-of-Thought (CoT) prompting has significantly improved the reasoning capabilities of large language models (LLMs). However,...
arXiv:2602.23440v3 Announce Type: replace Abstract: Reinforcement learning has emerged as an effective paradigm for training large language models to interleave...
arXiv:2604.00027v1 Announce Type: new Abstract: Large-scale EHR prediction across institutions is hindered by substantial heterogeneity in schemas and code systems....
In this tutorial, we build a complete end-to-end pipeline using NVIDIA Model Optimizer to train, prune, and fine-tune a deep...

In the current landscape of computer vision, the standard operating procedure involves a modular ‘Lego-brick’ approach: a pre-trained vision encoder...
arXiv:2604.01113v1 Announce Type: new Abstract: Large language model (LLM) systems are increasingly used to support high-stakes decision-making, but they typically...
arXiv:2604.01029v1 Announce Type: cross Abstract: Multi-LLM revision pipelines, in which a second model reviews and improves a draft produced by...

IBM has announced the release of Granite 4.0 3B Vision, a vision-language model (VLM) engineered specifically for enterprise-grade document data...










