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  • arXiv. org e-Print archive
    arXiv is a free distribution service and an open-access archive for nearly 2 4 million scholarly articles in the fields of physics, mathematics, computer science, quantitative biology, quantitative finance, statistics, electrical engineering and systems science, and economics Materials on this site are not peer-reviewed by arXiv
  • Computer Science - arXiv. org
    Computer Science (since January 1993) For a specific paper, enter the identifier into the top right search box Browse: new (most recent mailing, with abstracts) recent (last 5 mailings) current month's listings
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    Read more arXiv offers researchers a broad range of services: article submission, compilation, production, retrieval, search and discovery, web distribution for human readers, and API access for machines, together with content curation and preservation
  • [2511. 21631] Qwen3-VL Technical Report - arXiv. org
    We introduce Qwen3-VL, the most capable vision-language model in the Qwen series to date, achieving superior performance across a broad range of multimodal benchmarks It natively supports interleaved contexts of up to 256K tokens, seamlessly integrating text, images, and video The model family includes both dense (2B 4B 8B 32B) and mixture-of-experts (30B-A3B 235B-A22B) variants to
  • Computer Science - arXiv. org
    Multi-depot vehicle routing problems (MDVRPs) are prevalent in a variety of practical applications However, they are computationally challenging to solve due to their inherent complexity This paper proposes an effective hybrid algorithm for a class of MDVRPs The algorithm integrates a learning-driven, diversity-controlled route-exchange crossover and a multi-depot-supported feasible-and
  • Machine Learning - arXiv. org
    Machine Learning Authors and titles for recent submissions Fri, 8 May 2026 Thu, 7 May 2026 Wed, 6 May 2026 Tue, 5 May 2026 Mon, 4 May 2026 See today's new changes
  • [2603. 15031] Attention Residuals - arXiv. org
    Residual connections with PreNorm are standard in modern LLMs, yet they accumulate all layer outputs with fixed unit weights This uniform aggregation causes uncontrolled hidden-state growth with depth, progressively diluting each layer's contribution We propose Attention Residuals (AttnRes), which replaces this fixed accumulation with softmax attention over preceding layer outputs, allowing
  • [2602. 15763] GLM-5: from Vibe Coding to Agentic Engineering - arXiv. org
    We present GLM-5, a next-generation foundation model designed to transition the paradigm of vibe coding to agentic engineering Building upon the agentic, reasoning, and coding (ARC) capabilities of its predecessor, GLM-5 adopts DSA to significantly reduce training and inference costs while maintaining long-context fidelity To advance model alignment and autonomy, we implement a new
  • [2509. 25164] YOLO26: Key Architectural Enhancements and Performance . . .
    This study presents a comprehensive analysis of Ultralytics YOLO26(also called as YOLOv26), highlighting its key architectural enhancements and performance benchmarking for real-time object detection YOLO26, released in September 2025, stands as the newest and most advanced member of the YOLO family, purpose-built to deliver efficiency, accuracy, and deployment readiness on edge and low-power





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