Fashion

[Submitted on 11 Jul 2025 (v1), last revised 18 Sep 2025 (this version, v2)] View a PDF of the paper titled The Why and How of Convex Clustering, by Eric C. Chi and 3 other authors View PDF HTML (experimental) Abstract:This survey reviews a clustering method based on solving a convex optimization problem. Despite the plethora of existing clustering methods, …

arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a …

arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a …

to create something on my own. I had ideas but did not have the time and resources to work on them. The chance of developing apps or other software products for non-developers has greatly increased with the advancements of LLMs, as Andrej Karpathy also emphasized with the term “vibe coding”. There’s a new kind of coding I call “vibe coding”, …

process of building — and collecting regular user feedback on — simple versions of a product to quickly validate important assumptions and hypotheses, and assess key risks. This approach is closely aligned with the practice of agile software development, and the “build-measure-learn” process in the Lean Startup methodology, and can significantly reduce development costs and shorten the time-to-market. Rapid prototyping …

[Submitted on 23 May 2025 (v1), last revised 17 Sep 2025 (this version, v3)] View a PDF of the paper titled Understanding and Mitigating Overrefusal in LLMs from an Unveiling Perspective of Safety Decision Boundary, by Licheng Pan and 5 other authors View PDF HTML (experimental) Abstract:Large language models (LLMs) have demonstrated remarkable capabilities across a wide range of tasks, …

[Submitted on 9 Jun 2025 (v1), last revised 16 Sep 2025 (this version, v2)] View a PDF of the paper titled Worst-Case Symbolic Constraints Analysis and Generalisation with Large Language Models, by Daniel Koh and 4 other authors View PDF HTML (experimental) Abstract:Large language models (LLMs) have demonstrated strong performance on coding tasks such as generation, completion and repair, but …

arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a …

arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a …

arXiv:2509.12154v1 Announce Type: cross Abstract: The first part of this paper studies the evolution of gradient flow for homogeneous neural networks near a class of saddle points exhibiting a sparsity structure. The choice of these saddle points is motivated from previous works on homogeneous networks, which identified the first saddle point encountered by gradient flow after escaping the origin. It …