Tootfinder

Adversarial Attack Classification and Robustness Testing for Large Language Models for Code
Yang Liu, Armstrong Foundjem, Foutse Khomh, Heng Li
https://arxiv.org/abs/2506.07942

Adversarial Attack Classification and Robustness Testing for Large Language Models for Code
Large Language Models (LLMs) have become vital tools in software development tasks such as code generation, completion, and analysis. As their integration into workflows deepens, ensuring robustness against vulnerabilities especially those triggered by diverse or adversarial inputs becomes increasingly important. Such vulnerabilities may lead to incorrect or insecure code generation when models encounter perturbed task descriptions, code, or comments. Prior research often overlooks the role of …

By-the-way, just askin' for a friend....
Have *any* courts imposed contempt sanctions (wither civil or criminal contempt) on FFOTUS' henchmen?
It seems that judges have been making lots of whup-de-do sound-and-fury threats. I have not noticed that any of those are moving any further.
??

When Tukey meets Chauvenet: a new boxplot criterion for outlier detection
Hongmei Lin, Riquan Zhang, Tiejun Tong
https://arxiv.org/abs/2506.06491 https://

When Tukey meets Chauvenet: a new boxplot criterion for outlier detection
The box-and-whisker plot, introduced by Tukey (1977), is one of the most popular graphical methods in descriptive statistics. On the other hand, however, Tukey's boxplot is free of sample size, yielding the so-called "one-size-fits-all" fences for outlier detection. Although improvements on the sample size adjusted boxplots do exist in the literature, most of them are either not easy to implement or lack justification. As another common rule for outlier detection, Chauvenet's criterion uses the…

From Fads to Classics -- Analyzing Video Game Trend Evolutions through Steam Tags
Nicolas Grelier, Johannes Pfau, Nicolas Mathieu, St\'ephane Kaufmann
https://arxiv.org/abs/2506.08881

From Fads to Classics -- Analyzing Video Game Trend Evolutions through Steam Tags
The video game industry deals with a fast-paced, competitive and almost unpredictable market. Trends of genres, settings and modalities change on a perpetual basis, studios are often one big hit or miss away from surviving or perishing, and hitting the pulse of the time has become one of the greatest challenges for industrials, investors and other stakeholders. In this work, we aim to support the understanding of video game trends over time based on data-driven analysis, visualization and inter…

This https://arxiv.org/abs/2504.12849 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLG_…

FedX: Adaptive Model Decomposition and Quantization for IoT Federated Learning
Federated Learning (FL) allows collaborative training among multiple devices without data sharing, thus enabling privacy-sensitive applications on mobile or Internet of Things (IoT) devices, such as mobile health and asset tracking. However, designing an FL system with good model utility that works with low computation/communication overhead on heterogeneous, resource-constrained mobile/IoT devices is challenging. To address this problem, this paper proposes FedX, a novel adaptive model decompo…

This https://arxiv.org/abs/2408.09568 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSE_…

MergeRepair: An Exploratory Study on Merging Task-Specific Adapters in Code LLMs for Automated Program Repair
Large Language Models (LLMs) have shown high capabilities in several software development-related tasks such as program repair, documentation, code refactoring, debugging, and testing. However, training these models requires massive amount of data and significant computational resources. Adapters are specialized, small modules designed for parameter efficient fine-tuning of LLMs for specific tasks, domains, or applications without requiring extensive retraining of the entire model. These adapte…

Oh wow ​LLMs are just so terrible. 🤦‍♂️
I made a #systemd service watcher¹ ( :nixos: #NixOS module²³) which regularly feeds systemd status outputs into an LLM (mistral here) and sends me an email if it thinks it found real problems. Well, now I always get alarmist emails with bullshit warnings, suc…

Yann Büchau / ollama-watchdog · GitLab
GitLab.com

It’s Alexandria Ocasio-Cortez.
Since this is a grassroots campaign, I want to be transparent with you. 
Our fundraising hit an unexpected dip these last few days
– it happens sometimes,
and I don’t want to alarm you!
But I do want to share why this is important.
Unlike most other House campaigns, we operate differently and invest in community organizing year-round and full-time permanent staff. 
𝗧𝗵𝗲 𝗧𝗿𝘂𝗺𝗽 𝘁𝗿𝗶𝗳𝗲𝗰𝘁𝗮 𝗵𝗮𝘀 𝘁𝗮𝗸𝗲𝗻 𝗵𝗼𝗹𝗱, 𝗮𝗻𝗱 𝘀𝗼 𝘁𝗼𝗼 𝗵𝗮𝘃𝗲 𝘁𝗵𝗲…

Donate to AOC.
Alexandria is fighting for progressive policies that can help create social, racial, and economic justice for all. That's why she's taking $0 from corporations and lobbyists and is relying on the grassroots to power her campaign.

How to Favicon in 2025: Three files that fit most needs
It’s time to rethink how we cook a set of favicons for modern browsers and stop the icon generator madness. Frontend developers currently have to deal with 20 static PNG files just to display a tiny website logo in a browser tab or on a touchscreen. Read on to see how to take a smarter approach and adopt a minimal set of icons that fits most modern needs.
🖌️

How to Favicon in 2025: Three files that fit most needs—Martian Chronicles, Evil Martians’ team blog
Prefer SVG over PNG, trust browsers to downscale, drop obscure formats—the ultimate, exhaustive guide to favicons for modern web. Includes steps for static HTML and Webpack.

This is an interesting article about FFOTUS's cell phone.
Apparently many people know the number. And apparently FFOTUS often picks up and answers.
If I had the number I would publish it so that all of us could carry out our First Amendment right to "right to petition the government for redress of grievances".
"The Secret History of Trump’s Private Cellphone"

The Secret History of Trump’s Private Cellphone
“Who’s calling?” the president asks as he answers call after call from numbers he doesn’t know.