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arXiv:2510.08800v1 Announce Type: new Abstract: While Large Language Models (LLMs) have demonstrated advanced reasoning capabilities, their comprehensive evaluation in general...
arXiv:2510.09032v1 Announce Type: new Abstract: As an Indo-Aryan language with limited available data, Chakma remains largely underrepresented in language models....
arXiv:2510.08825v1 Announce Type: new Abstract: Large language models (LLMs) have demonstrated impressive reasoning abilities yet remain unreliable on knowledge-intensive, multi-hop...
arXiv:2510.09541v1 Announce Type: new Abstract: Diffusion large language models (dLLMs) are emerging as an efficient alternative to autoregressive models due...
arXiv:2412.04784v2 Announce Type: replace Abstract: Anomaly detection (AD) is an important machine learning task with applications in fraud detection, content...

AI tools are revolutionizing software development by automating repetitive tasks, refactoring bloated code, and identifying bugs in real-time. Developers can...

A significant development is set to transform AI in healthcare. Researchers at Stanford University, in collaboration with ETH Zurich and...
In this tutorial, we explore the power of self-supervised learning using the Lightly AI framework. We begin by building a...

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