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@arXiv_csPL_bot@mastoxiv.page
2025-06-03 16:12:25

This https://arxiv.org/abs/2505.16764 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csPL_…

Can a domain-specific language improve program structure comprehension of data pipelines? A mixed-methods study
In many application domains, domain-specific languages can allow domain experts to contribute to collaborative projects more correctly and efficiently. To do so, they must be able to understand program structure from reading existing source code. With high-quality data becoming an increasingly important resource, the creation of data pipelines is an important application domain for domain-specific languages. We execute a mixed-method study consisting of a controlled experiment and a follow-up…

@dav@social.maleo.uk
2025-04-04 16:43:49

Amend Investigatory Powers Act: bar Govt from protected, private customer data
Amend the Act to specifically and completely bar any Government from attempting to compel any company to give them access to customers' data, which we think undermines privacy. We don't want any companies to pull privacy features from the UK market, potentially as a result of the Act and its use.

Petition: Amend Investigatory Powers Act: bar Govt from protected, private customer data
Amend the Act to specifically and completely bar any Government from attempting to compel any company to give them access to customers' data, which we think undermines privacy. We don't want any companies to pull privacy features from the UK market, potentially as a result of the Act and its use.

@arXiv_mathNA_bot@mastoxiv.page
2025-06-03 07:50:05

Sharp error bounds for approximate eigenvalues and singular values from subspace methods
Irina-Beatrice Haas, Yuji Nakatsukasa
https://arxiv.org/abs/2506.01207

Sharp error bounds for approximate eigenvalues and singular values from subspace methods
Subspace methods are commonly used for finding approximate eigenvalues and singular values of large-scale matrices. Once a subspace is found, the Rayleigh-Ritz method (for symmetric eigenvalue problems) and Petrov-Galerkin projection (for singular values) are the de facto method for extraction of eigenvalues and singular values. In this work we derive quadratic error bounds for approximate eigenvalues obtained via the Rayleigh-Ritz process. Our bounds take advantage of the fact that extremal ei…

@BBC3MusicBot@mastodonapp.uk
2025-06-03 22:48:14

🇺🇦 #NowPlaying on BBCRadio3's #RoundMidnight
Kurtis Li:
🎵 Lilac
#KurtisLi
https://open.spotify.com/track/5SfBCBQvEEbeBbS9K0fUG2

@Techmeme@techhub.social
2025-06-03 17:05:51

TikTok expands Manage Topics, a feature that lets users customize how often specific topics appear in the For You feed, and adds AI-powered keyword filtering (Emma Roth/The Verge)
https://www.theverge.com/news/678779/tiktok-for-you-feed-manage-…

TikTok gives everyone more control over what’s on their For You page
TikTok is rolling out Manage Topics globally, a feature that lets you control how often you see certain kinds of videos in your For You feed, such as those related to sports, travel, humor, or dance.

@tante@tldr.nettime.org
2025-06-03 12:16:35

Here's an idea: People in tech want better AI criticism? It's all just too $something? I'm willing to take off a month from work to write a whole bunch of detailed structural criticism if the people demanding better, more specific criticism pay my salary for that month.

@cosmos4u@scicomm.xyz
2025-05-30 23:28:31

@arXiv_csNE_bot@mastoxiv.page
2025-06-03 07:22:51

LLM-Driven Instance-Specific Heuristic Generation and Selection
Shaofeng Zhang, Shengcai Liu, Ning Lu, Jiahao Wu, Ji Liu, Ke Tang
https://arxiv.org/abs/2506.00490

LLM-Driven Instance-Specific Heuristic Generation and Selection
Combinatorial optimization problems are widely encountered in real-world applications. Designing high-quality heuristic algorithms that efficiently approximate optimal solutions within reasonable time is a critical research challenge. In recent years, many works have explored integrating Large Language Models (LLMs) with Evolutionary Algorithms to automate heuristic algorithm design through prompt engineering. However, these approaches generally adopt a problem-specific paradigm, applying a sin…

@arXiv_csLG_bot@mastoxiv.page
2025-06-03 21:49:01

This https://arxiv.org/abs/2505.17662 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLG_…

Automating Versatile Time-Series Analysis with Tiny Transformers on Embedded FPGAs
Transformer-based models have shown strong performance across diverse time-series tasks, but their deployment on resource-constrained devices remains challenging due to high memory and computational demand. While prior work targeting Microcontroller Units (MCUs) has explored hardware-specific optimizations, such approaches are often task-specific and limited to 8-bit fixed-point precision. Field-Programmable Gate Arrays (FPGAs) offer greater flexibility, enabling fine-grained control over data …

@arXiv_statME_bot@mastoxiv.page
2025-06-04 07:52:20

Constructing Evidence-Based Tailoring Variables for Adaptive Interventions
John J. Dziak, Inbal Nahum-Shani
https://arxiv.org/abs/2506.03054 https://

Constructing Evidence-Based Tailoring Variables for Adaptive Interventions
Background: An adaptive intervention (ADI) uses individual information in order to select treatment, to improve effectiveness while reducing cost and burden. ADIs require tailoring variables: person- and potentially time-specific information used to decide whether and how to deliver treatment. Specifying a tailoring variable for an intervention requires specifying what to measure, when to measure it, when to make the resulting decisions, and what cutoffs should be used in making those decisions…

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