Tootfinder

Buenos días. Ayer pensé que voy a ir guardando en un repositorio todos los scripts que tengo para distintas tareas. Que son pocos, pero seguramente iršn creciendo.
Los voy a ir ordenando por shell, de modo que meteré también los de rc a no mucho tardar. De momento sólo tengo uno para fish y FreeBSD.
Pasen y cojan lo que les interese: https://

Kinds of Kindness
#movie got you covered.
Great cast, requires patience due to it…

Nile-Chat: Egyptian Language Models for Arabic and Latin Scripts
Guokan Shang, Hadi Abdine, Ahmad Chamma, Amr Mohamed, Mohamed Anwar, Abdelaziz Bounhar, Omar El Herraoui, Preslav Nakov, Michalis Vazirgiannis, Eric Xing
https://arxiv.org/abs/2507.04569

Nile-Chat: Egyptian Language Models for Arabic and Latin Scripts
We introduce Nile-Chat-4B, 3x4B-A6B, and 12B, a collection of LLMs for Egyptian dialect, uniquely designed to understand and generate texts written in both Arabic and Latin scripts. Specifically, with Nile-Chat-3x4B-A6B, we introduce a novel language adaptation approach by leveraging the Branch-Train-MiX strategy to merge script-specialized experts, into a single MoE model. Our Nile-Chat models significantly outperform leading multilingual and Arabic LLMs, such as LLaMa, Jais, and ALLaM, on our…

This week I watched a video about Grist posted by LawrenceSystems and found it to be a good fit in what I've been looking for a while now.
Basically just a spreadsheet with API support for automation with other systems and data collectors. Been using SuiteCRM for a while and it worked well enough but is too clunky and brittle to quickly add/adjust columns or extend functionality.
Thus far have put together some middleware for device inventory management and about to work on …

GitHub - eVAL-Agency/Grist-Scripts: Various scripts to assist with automation in Grist
Various scripts to assist with automation in Grist - eVAL-Agency/Grist-Scripts

Advancing Offline Handwritten Text Recognition: A Systematic Review of Data Augmentation and Generation Techniques
Yassin Hussein Rassul, Aram M. Ahmed, Polla Fattah, Bryar A. Hassan, Arwaa W. Abdulkareem, Tarik A. Rashid, Joan Lu
https://arxiv.org/abs/2507.06275

Advancing Offline Handwritten Text Recognition: A Systematic Review of Data Augmentation and Generation Techniques
Offline Handwritten Text Recognition (HTR) systems play a crucial role in applications such as historical document digitization, automatic form processing, and biometric authentication. However, their performance is often hindered by the limited availability of annotated training data, particularly for low-resource languages and complex scripts. This paper presents a comprehensive survey of offline handwritten data augmentation and generation techniques designed to improve the accuracy and robu…

Empirical Security Analysis of Software-based Fault Isolation through Controlled Fault Injection
Nils Bars, Lukas Bernhard, Moritz Schloegel, Thorsten Holz
https://arxiv.org/abs/2509.07757

Empirical Security Analysis of Software-based Fault Isolation through Controlled Fault Injection
We use browsers daily to access all sorts of information. Because browsers routinely process scripts, media, and executable code from unknown sources, they form a critical security boundary between users and adversaries. A common attack vector is JavaScript, which exposes a large attack surface due to the sheer complexity of modern JavaScript engines. To mitigate these threats, modern engines increasingly adopt software-based fault isolation (SFI). A prominent example is Google's V8 heap sandbo…

Structured Task Solving via Modular Embodied Intelligence: A Case Study on Rubik's Cube
Chongshan Fan, Shenghai Yuan
https://arxiv.org/abs/2507.05607 h…

Structured Task Solving via Modular Embodied Intelligence: A Case Study on Rubik's Cube
This paper presents Auto-RubikAI, a modular autonomous planning framework that integrates a symbolic Knowledge Base (KB), a vision-language model (VLM), and a large language model (LLM) to solve structured manipulation tasks exemplified by Rubik's Cube restoration. Unlike traditional robot systems based on predefined scripts, or modern approaches relying on pretrained networks and large-scale demonstration data, Auto-RubikAI enables interpretable, multi-step task execution with minimal data req…

Dear spammers, could you please fix your scripts, so that when the mail server replies:
452 4.3.1 Insufficient system storage
Then you QUIT instead of following up with more crap? Thank you.
#spam

Manchmal habe ich den Eindruck, dieses Infrastructure as Code haben uns Programmierer eingebrockt, weil sie Kommandozeile und Shell-Scripts nicht verstehen. #justthinkin

UTC Date: 2025-09-06T04:27:30.067Z
Client Id: 8862475F8B7242AEAB3CF8F4BA345DB5
Session Id: 6e88a5ad-a1d8-4d93-9703-cc8ed2b78e3d
Client Version: 20250829003.06
BootResult: fail
err: Error: 401
esrc: StartupData
et: ServerError
estack: w@https://res.public.onecdn.static.microsoft/owamail/hashed-v1/scripts/owa.mailindex.12026b2c.js:1:1041
165332/S/<@https://res.public.onecdn.static.microsoft/owamail/hashed-v1/scripts
st: 401
efe: MW3PR…

A Tale of Two Scripts: Transliteration and Post-Correction for Judeo-Arabic
Juan Moreno Gonzalez, Bashar Alhafni, Nizar Habash
https://arxiv.org/abs/2507.04746

A Tale of Two Scripts: Transliteration and Post-Correction for Judeo-Arabic
Judeo-Arabic refers to Arabic variants historically spoken by Jewish communities across the Arab world, primarily during the Middle Ages. Unlike standard Arabic, it is written in Hebrew script by Jewish writers and for Jewish audiences. Transliterating Judeo-Arabic into Arabic script is challenging due to ambiguous letter mappings, inconsistent orthographic conventions, and frequent code-switching into Hebrew and Aramaic. In this paper, we introduce a two-step approach to automatically translit…

Alibaba's Qwen releases Qwen-Image, an AI image generation model focused on accurate text rendering, with support for alphabetic and logographic scripts (Carl Franzen/VentureBeat)
https://venturebeat.com/ai/qwen-image-

Tired of copying `src/file/name.ext:42:5` from a compiler's output, carefully stripping the `:42:5` line and column number, opening the file in your favorite #VIm variant and then pressing `42G` (provided you remembered the line number)?
Vm Script 2184 "file:line" has you covered, <

Composable Effect Handling for Programming LLM-integrated Scripts
Di Wang
https://arxiv.org/abs/2507.22048 https://arxiv.org/pdf/2507.22048

Composable Effect Handling for Programming LLM-integrated Scripts
Implementing LLM-integrated scripts introduces challenges in modularity and performance, as scripts are often coupled to specific LLM implementations and fail to exploit parallelization opportunities. This paper proposes using composable effect handling to separate workflow logic from effectful operations, such as LLM calls, I/O, and concurrency, enabling modularity without sacrificing the opportunity for performance optimization. By treating these operations as abstract interfaces and discharg…

From Offline to Inline Without Pain: A Practical Framework for Translating Offline MR Reconstructions to Inline Deployment Using the Gadgetron Platform
Zihan Ning, Yannick Brackenier, Sarah McElroy, Sara Neves Silva, Lucilio Cordero-Grande, Sam Rot, Liane S. Canas, Rebecca E Thornley, David Leit\~ao, Davide Poccecai, Andrew Cantell, Rene Kerosi, Anthony N Price, Jon Cleary, Donald J Tournier, Jana Hutter, Philippa Bridgen, Pierluigi Di Cio, Michela Cleri, Inka Granlund, Lucy Billimoria…

From Offline to Inline Without Pain: A Practical Framework for Translating Offline MR Reconstructions to Inline Deployment Using the Gadgetron Platform
Purpose: To develop and validate a practical framework to overcome common issues in inline deployment of established offline MR reconstruction, including (1) delay from lengthy reconstructions, (2) limited support for multi-scan input reconstructions, (3) the need to adapt scripts for different raw formats, and (4) limited guidance and experience in retaining scanner reconstructions and applying scanner-based post-processing to custom outputs. Methods: The framework builds upon the Gadgetron pl…

I have a habbit of making (too) many (small) packages for functionality that might be reused in different context. {box} might be an alternative by making scripts into modlues that can be loaded: #RStats

‘box’: Write Reusable, Composable and Modular R Code
A modern module system for R. Organise code into hierarchical, composable, reusable modules, and use it effortlessly across projects via a flexible, declarative dependency loading syntax.

Build It Clean: Large-Scale Detection of Code Smells in Build Scripts
Mahzabin Tamanna, Yash Chandrani, Matthew Burrows, Brandon Wroblewski, Laurie Williams, Dominik Wermke
https://arxiv.org/abs/2506.17948

Build It Clean: Large-Scale Detection of Code Smells in Build Scripts
Build scripts are files that automate the process of compiling source code, managing dependencies, running tests, and packaging software into deployable artifacts. These scripts are ubiquitous in modern software development pipelines for streamlining testing and delivery. While developing build scripts, practitioners may inadvertently introduce code smells. Code smells are recurring patterns of poor coding practices that may lead to build failures or increase risk and technical debt. The goal o…

Je viens de finir « POC serveur Git HTTP avec exécution de scripts au push »
#Git #SvelteKit

A Reproducible, Scalable Pipeline for Synthesizing Autoregressive Model Literature
Faruk Alpay, Bugra Kilictas, Hamdi Alakkad
https://arxiv.org/abs/2508.04612 https://

A Reproducible, Scalable Pipeline for Synthesizing Autoregressive Model Literature
The accelerating pace of research on autoregressive generative models has produced thousands of papers, making manual literature surveys and reproduction studies increasingly impractical. We present a fully open-source, reproducible pipeline that automatically retrieves candidate documents from public repositories, filters them for relevance, extracts metadata, hyper-parameters and reported results, clusters topics, produces retrieval-augmented summaries and generates containerised scripts for …

moviegalaxies: Moviegalaxies, movies 410-466 (2018)
Social graphs for over 700 movies from the moviegalaxies.com website. Each node represents a character in a movie and each edge is a same-scene appearance between two characters in that movie. The weight gives the number of same-scene appearances. Networks are extracted from movie scripts automatically.
This network has 32 nodes and 134 edges.
Tags: Social, Fictional, Weighted

Note to self: don't re-run your query scripts just before you put your presentation to bed just in case you have to re-organise your talk flow.
*sigh*
still I have until Friday morning. Time to travel. See my fellow hackers @ #kvmforum2025

I do like nushell a lot, but it’s not good at this. It wants you to conform, and this means you really can’t make big scripts in it. (Some would argue that’s a feature; I disagree.)

Espero que me perdonen, pero he estado usando la IA de Deepseek como asistente para programar algunos scripts de uso personal y de trabajo. No estoy particularmente satisfecho con los resultados hasta ahora...
#IA #Deepseek

#GNOME #Nautilus (="Files"): Is it really impossible to map a keyboard shortcut such that my custom shell script is called with the currently selected file(s) as command line parameters? 🤔
I can only put them in ~/.local/share/nautilus/scripts/ but then I have to use the mouse and its contex…

I have to use #Gitlab CI at $work, and I'm surprised how clunky it is.
CI Components are not real components, they just dump YAML into a global namespace, needing hacks to customize them.
There's no reusability at the granularity of Github Actions (other than concatenation of bash scripts).
I keep running into dead ends. I check Gitlab's own bug tracker to see if an…

@… I have an installationscript for iocaine under https://codeberg.org/pnpde.social/scripts/src/branch/main/poisoner…

Yelp is making AI videos about restaurants, using AI generated scripts and voice-overs based on reviews, incorporating pictures and videos posted by users (Jay Peters/The Verge)
https://www.theverge.com/news/714944/yelp-ai-stitched-videos

Yelp is creating its own AI videos about restaurants
Yelp is using AI to stitch together and narrate user-posted content into videos about restaurants, food, and nightlife businesses that are available now in its iPhone and iPad app.

I've been doing some ridiculously neat reverse engineering recently.
Check this out: https://github.com/httptoolkit/frida-interception-and-unpinning/blob/main/android/android-disable-flutter-certificate-pinn…

frida-interception-and-unpinning/android/android-disable-flutter-certificate-pinning.js at main · httptoolkit/frida-interception-and-unpinning
Frida scripts to directly MitM all HTTPS traffic from a target mobile application - httptoolkit/frida-interception-and-unpinning

moviegalaxies: Moviegalaxies, movies 410-466 (2018)
Social graphs for over 700 movies from the moviegalaxies.com website. Each node represents a character in a movie and each edge is a same-scene appearance between two characters in that movie. The weight gives the number of same-scene appearances. Networks are extracted from movie scripts automatically.
This network has 40 nodes and 152 edges.
Tags: Social, Fictional, Weighted

The Maxwell transcripts: Trump's lawyer gives away the game (Adam Klasfeld/All Rise News)
https://www.allrisenews.com/p/maxwell-transcripts-blanche-giuffre
http://www.memeorandum.com/250823/p36#a250823p36

Instructional Agents: LLM Agents on Automated Course Material Generation for Teaching Faculties
Huaiyuan Yao, Wanpeng Xu, Justin Turnau, Nadia Kellam, Hua Wei
https://arxiv.org/abs/2508.19611

Instructional Agents: LLM Agents on Automated Course Material Generation for Teaching Faculties
Preparing high-quality instructional materials remains a labor-intensive process that often requires extensive coordination among teaching faculty, instructional designers, and teaching assistants. In this work, we present Instructional Agents, a multi-agent large language model (LLM) framework designed to automate end-to-end course material generation, including syllabus creation, lecture scripts, LaTeX-based slides, and assessments. Unlike existing AI-assisted educational tools that focus on …

David Lynchs Nachlass hat sich scheinbar bei einer Auktion in die Winde zerstreut.
#Filmkultur

VizGenie: Toward Self-Refining, Domain-Aware Workflows for Next-Generation Scientific Visualization
Ayan Biswas, Terece L. Turton, Nishath Rajiv Ranasinghe, Shawn Jones, Bradley Love, William Jones, Aric Hagberg, Han-Wei Shen, Nathan DeBardeleben, Earl Lawrence
https://arxiv.org/abs/2507.21124

VizGenie: Toward Self-Refining, Domain-Aware Workflows for Next-Generation Scientific Visualization
We present VizGenie, a self-improving, agentic framework that advances scientific visualization through large language model (LLM) by orchestrating of a collection of domain-specific and dynamically generated modules. Users initially access core functionalities--such as threshold-based filtering, slice extraction, and statistical analysis--through pre-existing tools. For tasks beyond this baseline, VizGenie autonomously employs LLMs to generate new visualization scripts (e.g., VTK Python code),…

I'm currently bisecting isc-dhcpd to figure out where the javastation boot breaks; it's hideous - the versions I'm on use manually coded configure scripts with switches on Linux major version (2 being largest) and have headers that need extern's scattering in for a modern compiler for some reason.
(Current status, 2.0.5 works, 3.1.3 fails)

Passwords and FIDO2 Are Meant To Be Secret: A Practical Secure Authentication Channel for Web Browsers
Anuj Gautam, Tarun Yadav, Garrett Smith, Kent Seamons, Scott Ruoti
https://arxiv.org/abs/2509.02289

Passwords and FIDO2 Are Meant To Be Secret: A Practical Secure Authentication Channel for Web Browsers
Password managers provide significant security benefits to users. However, malicious client-side scripts and browser extensions can steal passwords after the manager has autofilled them into the web page. In this paper, we extend prior work by Stock and Johns, showing how password autofill can be hardened to prevent these local attacks. We implement our design in the Firefox browser and conduct experiments demonstrating that our defense successfully protects passwords from XSS attacks and malic…

Automate at scale. Copilot writes #PowerShell scripts based on Microsoft documentation—just update the placeholders and run.
▶️ A Copilot designed for admins - Introducing Copilot in the Microsoft 365 Admin Center - #Microsoft Mechanics

Happens a lot. There was a bug in the MedAdvisor Android app. It wouldn't accept photos of scripts for several weeks. I sent them an email explaining the problem we had encountered. I included the information that it didn't work on either my phone model or the husband's different model both running android version etc. Their first response was to ask what phone I was using. 🤦‍♀️
#TechHelp

iPanda: An Intelligent Protocol Testing and Debugging Agent for Conformance Testing
Xikai Sun, Fan Dang, Kebin Liu, Xin Miao, Zihao Yang, Haimo Lu, Yawen Zheng, Yunhao Liu
https://arxiv.org/abs/2507.00378

iPanda: An Intelligent Protocol Testing and Debugging Agent for Conformance Testing
Conformance testing is essential for ensuring that protocol implementations comply with their specifications. However, traditional testing approaches involve manually creating numerous test cases and scripts, making the process labor-intensive and inefficient. Recently, Large Language Models (LLMs) have demonstrated impressive text comprehension and code generation abilities, providing promising opportunities for automation. In this paper, we propose iPanda, the first end-to-end framework that …

Ah nice, SuUB Bremen (@…) offers their FOLIO scripts in a public repository.
This is the third german repository in my list (https://coll…

What am I doing instead of resting? Well, I'm playing with generating EPYTEST_DESELECT from `epytest --junit-xml=…`
#Gentoo #PyTest #Python

chDzDT: Word-level morphology-aware language model for Algerian social media text
Abdelkrime Aries
https://arxiv.org/abs/2509.01772 https://arxiv.org/pdf/2…

chDzDT: Word-level morphology-aware language model for Algerian social media text
Pre-trained language models (PLMs) have substantially advanced natural language processing by providing context-sensitive text representations. However, the Algerian dialect remains under-represented, with few dedicated models available. Processing this dialect is challenging due to its complex morphology, frequent code-switching, multiple scripts, and strong lexical influences from other languages. These characteristics complicate tokenization and reduce the effectiveness of conventional word-…

Hey media companies... I have auto play turned off for a reason! Please stop with your games with scripts and making them auto play.
Two options -
1. You don't turn them off I nuke your bookmark (Looking at you ABC news) and I will look at news elsewhere.
2. You respect my settings and auto play is disabled and I keep visiting now and then.
Any bets they choose option 1.

Brains and language models converge on a shared conceptual space across different languages
Zaid Zada, Samuel A Nastase, Jixing Li, Uri Hasson
https://arxiv.org/abs/2506.20489

Brains and language models converge on a shared conceptual space across different languages
Human languages differ widely in their forms, each having distinct sounds, scripts, and syntax. Yet, they can all convey similar meaning. Do different languages converge on a shared neural substrate for conceptual meaning? We used language models (LMs) and naturalistic fMRI to identify neural representations of the shared conceptual meaning of the same story as heard by native speakers of three languages: English, Chinese, and French. We found that LMs trained on entirely different languages co…

Hello, I’m a #newbiehere and I’m posting because I’d like to share something.
As an old IT guy, I want to share a script that makes life easier for (home) admins when a “curl” or “wget” fails during certificate (#SSL /

Chromo: A High-Performance Python Interface to Hadronic Event Generators for Collider and Cosmic-Ray Simulations
Anatoli Fedynitch, Hans Dembinski, Anton Prosekin
https://arxiv.org/abs/2507.21856

Chromo: A High-Performance Python Interface to Hadronic Event Generators for Collider and Cosmic-Ray Simulations
Simulations of hadronic and nuclear interactions are essential in both collider and astroparticle physics. The Chromo package provides a unified Python interface to multiple widely used hadronic event generators, including EPOS, DPMJet, Sibyll, QGSJet, and Pythia. Built on top of their original Fortran and C++ implementations, Chromo offers a zero-overhead abstraction layer suitable for use in Python scripts, Jupyter notebooks, or from the command line, while preserving the performance of direc…

Note to self:
Make sure your backup scripts aren't trying to archive things like /proc or /sys or /dev/urandom
2nd note to self:
Creating chroot jails for things can cause files like /proc or /sys or /dev/urandom to show up in places you might not originally have been expecting them to.

I have officially surrendered to Chromium, losing out on stable Violentmonkey/Stylus which sucks HARD for tweak scripts but at least I can manage keyboard shortcuts for extensions without bending over backwards, seriously how has FF still not fixed this shit? Please Chronos do me a favour and just teleport me to Ladybirds launch with full WebExtension support to boot.

moviegalaxies: Moviegalaxies, movies 410-466 (2018)
Social graphs for over 700 movies from the moviegalaxies.com website. Each node represents a character in a movie and each edge is a same-scene appearance between two characters in that movie. The weight gives the number of same-scene appearances. Networks are extracted from movie scripts automatically.
This network has 58 nodes and 201 edges.
Tags: Social, Fictional, Weighted

@… @… @… I would love that but unfortunately, everyone* loads scripts from everywhere, and …

Zero-shot OCR Accuracy of Low-Resourced Languages: A Comparative Analysis on Sinhala and Tamil
Nevidu Jayatilleke, Nisansa de Silva
https://arxiv.org/abs/2507.18264 https://

Zero-shot OCR Accuracy of Low-Resourced Languages: A Comparative Analysis on Sinhala and Tamil
Solving the problem of Optical Character Recognition (OCR) on printed text for Latin and its derivative scripts can now be considered settled due to the volumes of research done on English and other High-Resourced Languages (HRL). However, for Low-Resourced Languages (LRL) that use unique scripts, it remains an open problem. This study presents a comparative analysis of the zero-shot performance of six distinct OCR engines on two LRLs: Sinhala and Tamil. The selected engines include both commer…

So @… blew my mind about how are smart TVs are spying on us with Automatic Content Recognition and other advertising profile scripts. Yikes! Thanks for the heads up!
https://youtu.b…

MMS Player: an open source software for parametric data-driven animation of Sign Language avatars
Fabrizio Nunnari, Shailesh Mishra, Patrick Gebhard
https://arxiv.org/abs/2507.16463

MMS Player: an open source software for parametric data-driven animation of Sign Language avatars
This paper describes the MMS-Player, an open source software able to synthesise sign language animations from a novel sign language representation format called MMS (MultiModal Signstream). The MMS enhances gloss-based representations by adding information on parallel execution of signs, timing, and inflections. The implementation consists of Python scripts for the popular Blender 3D authoring tool and can be invoked via command line or HTTP API. Animations can be rendered as videos or exported…

Adobe updates its Firefly video model and adds a beta Generate Sound Effects tool that can create custom sounds from text prompts and the user's voice (Sabrina Ortiz/ZDNET)
https://www.zdnet.com/article/adobe-firefly-ca…

Adobe Firefly can now generate AI sound effects for videos - and I'm seriously impressed
In addition to video sound effects, Text to Avatar is launching in beta. It allows you to turn scripts into avatar-led videos.

SIMCODE: A Benchmark for Natural Language to ns-3 Network Simulation Code Generation
Tasnim Ahmed, Mirza Mohammad Azwad, Salimur Choudhury
https://arxiv.org/abs/2507.11014

SIMCODE: A Benchmark for Natural Language to ns-3 Network Simulation Code Generation
Large language models (LLMs) have demonstrated remarkable capabilities in code generation across various domains. However, their effectiveness in generating simulation scripts for domain-specific environments like ns-3 remains underexplored. Despite the growing interest in automating network simulations, existing tools primarily focus on interactive automation over rigorous evaluation. To facilitate systematic evaluation, we introduce SIMCODE, the first benchmark to evaluate LLMs' ability to ge…

Exploring the Jupyter Ecosystem: An Empirical Study of Bugs and Vulnerabilities
Wenyuan Jiang, Diany Pressato, Harsh Darji, Thibaud Lutellier
https://arxiv.org/abs/2507.18833 ht…

Exploring the Jupyter Ecosystem: An Empirical Study of Bugs and Vulnerabilities
Background. Jupyter notebooks are one of the main tools used by data scientists. Notebooks include features (configuration scripts, markdown, images, etc.) that make them challenging to analyze compared to traditional software. As a result, existing software engineering models, tools, and studies do not capture the uniqueness of Notebook's behavior. Aims. This paper aims to provide a large-scale empirical study of bugs and vulnerabilities in the Notebook ecosystem. Method. We collected and anal…

FROGENT: An End-to-End Full-process Drug Design Agent
Qihua Pan, Dong Xu, Jenna Xinyi Yao, Lijia Ma, Zexuan Zhu, Junkai Ji
https://arxiv.org/abs/2508.10760 https://

FROGENT: An End-to-End Full-process Drug Design Agent
Powerful AI tools for drug discovery reside in isolated web apps, desktop programs, and code libraries. Such fragmentation forces scientists to manage incompatible interfaces and specialized scripts, which can be a cumbersome and repetitive process. To address this issue, a Full-pROcess druG dEsign ageNT, named FROGENT, has been proposed. Specifically, FROGENT utilizes a Large Language Model and the Model Context Protocol to integrate multiple dynamic biochemical databases, extensible tool libr…

Hallo ich bin #neuhier und melde mich, weil etwas teilen möchte.
Als alter ITler möchte ich ein Skript teilen, dass dem (Home-)Admin das Leben erleichert, wenn wieder mal ein "curl" oder "wget" bei der Verifizierung eines Zertifikats (#SSL /

JsDeObsBench: Measuring and Benchmarking LLMs for JavaScript Deobfuscation
Guoqiang Chen, Xin Jin, Zhiqiang Lin
https://arxiv.org/abs/2506.20170 https://…

JsDeObsBench: Measuring and Benchmarking LLMs for JavaScript Deobfuscation
Deobfuscating JavaScript (JS) code poses a significant challenge in web security, particularly as obfuscation techniques are frequently used to conceal malicious activities within scripts. While Large Language Models (LLMs) have recently shown promise in automating the deobfuscation process, transforming detection and mitigation strategies against these obfuscated threats, a systematic benchmark to quantify their effectiveness and limitations has been notably absent. To address this gap, we pre…

You prompt me to disable my ad blockers? Answer is NO! Want to serve me ads, no problem. Just serve me generic ads with all the BS intrusive scripts removed!

Replaced article(s) found for cs.HC. https://arxiv.org/list/cs.HC/new
[1/1]:
- Script-Strategy Aligned Generation: Aligning LLMs with Expert-Crafted Dialogue Scripts and Therap...
Xin Sun, Jan de Wit, Zhuying Li, Jiahuan Pei, Abdallah El Ali, Jos A. Bosch

@… Yeah, I have managed to dodge that one until now and I hope to keep doing it.
Nowadays I just write shell scripts anyway.

moviegalaxies: Moviegalaxies, movies 410-466 (2018)
Social graphs for over 700 movies from the moviegalaxies.com website. Each node represents a character in a movie and each edge is a same-scene appearance between two characters in that movie. The weight gives the number of same-scene appearances. Networks are extracted from movie scripts automatically.
This network has 25 nodes and 91 edges.
Tags: Social, Fictional, Weighted

Language Arithmetics: Towards Systematic Language Neuron Identification and Manipulation
Daniil Gurgurov, Katharina Trinley, Yusser Al Ghussin, Tanja Baeumel, Josef van Genabith, Simon Ostermann
https://arxiv.org/abs/2507.22608

Language Arithmetics: Towards Systematic Language Neuron Identification and Manipulation
Large language models (LLMs) exhibit strong multilingual abilities, yet the neural mechanisms behind language-specific processing remain unclear. We analyze language-specific neurons in Llama-3.1-8B, Mistral-Nemo-12B, and Aya-Expanse-8B & 32B across 21 typologically diverse languages, identifying neurons that control language behavior. Using the Language Activation Probability Entropy (LAPE) method, we show that these neurons cluster in deeper layers, with non-Latin scripts showing greater spec…

New in #Python world: #setuptools now vendors deep dependencies with LGPL license. Not that I do mind (but some people and companies do!) — but these dependencies aren't even used! I mean, `autocommand` is just a dependency of some scripts in `jaraco.text` that aren't used by setuptools.
Oh, wait, I actually do care, because I need to fix LICENSE in dev-python/ensurepip-setuptools.
https://github.com/pypa/setuptools/issues/5045
https://github.com/pypa/setuptools/issues/5049

Large Language Model-Driven Code Compliance Checking in Building Information Modeling
Soumya Madireddy, Lu Gao, Zia Din, Kinam Kim, Ahmed Senouci, Zhe Han, Yunpeng Zhang
https://arxiv.org/abs/2506.20551

Large Language Model-Driven Code Compliance Checking in Building Information Modeling
This research addresses the time-consuming and error-prone nature of manual code compliance checking in Building Information Modeling (BIM) by introducing a Large Language Model (LLM)-driven approach to semi-automate this critical process. The developed system integrates LLMs such as GPT, Claude, Gemini, and Llama, with Revit software to interpret building codes, generate Python scripts, and perform semi-automated compliance checks within the BIM environment. Case studies on a single-family res…

moviegalaxies: Moviegalaxies, movies 410-466 (2018)
Social graphs for over 700 movies from the moviegalaxies.com website. Each node represents a character in a movie and each edge is a same-scene appearance between two characters in that movie. The weight gives the number of same-scene appearances. Networks are extracted from movie scripts automatically.
This network has 35 nodes and 89 edges.
Tags: Social, Fictional, Weighted

WebGuard :Interpretable Malicious URL Detection via Bidirectional Fusion of HTML Subgraphs and Multi-Scale Convolutional BERT
Ye Tian, Zhang Yumin, Yifan Jia, Jianguo Sun, Yanbin Wang
https://arxiv.org/abs/2506.19356

WebGuard++:Interpretable Malicious URL Detection via Bidirectional Fusion of HTML Subgraphs and Multi-Scale Convolutional BERT
URL+HTML feature fusion shows promise for robust malicious URL detection, since attacker artifacts persist in DOM structures. However, prior work suffers from four critical shortcomings: (1) incomplete URL modeling, failing to jointly capture lexical patterns and semantic context; (2) HTML graph sparsity, where threat-indicative nodes (e.g., obfuscated scripts) are isolated amid benign content, causing signal dilution during graph aggregation; (3) unidirectional analysis, ignoring URL-HTML feat…

MeshCoder: LLM-Powered Structured Mesh Code Generation from Point Clouds
Bingquan Dai, Li Ray Luo, Qihong Tang, Jie Wang, Xinyu Lian, Hao Xu, Minghan Qin, Xudong Xu, Bo Dai, Haoqian Wang, Zhaoyang Lyu, Jiangmiao Pang
https://arxiv.org/abs/2508.14879

MeshCoder: LLM-Powered Structured Mesh Code Generation from Point Clouds
Reconstructing 3D objects into editable programs is pivotal for applications like reverse engineering and shape editing. However, existing methods often rely on limited domain-specific languages (DSLs) and small-scale datasets, restricting their ability to model complex geometries and structures. To address these challenges, we introduce MeshCoder, a novel framework that reconstructs complex 3D objects from point clouds into editable Blender Python scripts. We develop a comprehensive set of exp…

It's All About In-Context Learning! Teaching Extremely Low-Resource Languages to LLMs
Yue Li, Zhixue Zhao, Carolina Scarton
https://arxiv.org/abs/2508.19089 https://

It's All About In-Context Learning! Teaching Extremely Low-Resource Languages to LLMs
Extremely low-resource languages, especially those written in rare scripts, as shown in Figure 1, remain largely unsupported by large language models (LLMs). This is due in part to compounding factors such as the lack of training data. This paper delivers the first comprehensive analysis of whether LLMs can acquire such languages purely via in-context learning (ICL), with or without auxiliary alignment signals, and how these methods compare to parameter-efficient fine-tuning (PEFT). We systemat…

Tracker Installations Are Not Created Equal: Understanding Tracker Configuration of Form Data Collection
Julia B. Kieserman, Athanasios Andreou, Chris Geeng, Tobias Lauinger, Damon McCoy
https://arxiv.org/abs/2506.16891

Tracker Installations Are Not Created Equal: Understanding Tracker Configuration of Form Data Collection
Targeted advertising is fueled by the comprehensive tracking of users' online activity. As a result, advertising companies, such as Google and Meta, encourage website administrators to not only install tracking scripts on their websites but configure them to automatically collect users' Personally Identifying Information (PII). In this study, we aim to characterize how Google and Meta's trackers can be configured to collect PII data from web forms. We first perform a qualitative analysis of how…

Quality Assessment of Python Tests Generated by Large Language Models
Victor Alves, Carla Bezerra, Ivan Machado, Larissa Rocha, T\'assio Virg\'inio, Publio Silva
https://arxiv.org/abs/2506.14297

Quality Assessment of Python Tests Generated by Large Language Models
The manual generation of test scripts is a time-intensive, costly, and error-prone process, indicating the value of automated solutions. Large Language Models (LLMs) have shown great promise in this domain, leveraging their extensive knowledge to produce test code more efficiently. This study investigates the quality of Python test code generated by three LLMs: GPT-4o, Amazon Q, and LLama 3.3. We evaluate the structural reliability of test suites generated under two distinct prompt contexts: Te…

You Don't Know Until You Click:Automated GUI Testing for Production-Ready Software Evaluation
Yutong Bian, Xianhao Lin, Yupeng Xie, Tianyang Liu, Mingchen Zhuge, Siyuan Lu, Haoming Tang, Jinlin Wang, Jiayi Zhang, Jiaqi Chen, Xiangru Tang, Yongxin Ni, Sirui Hong, Chenglin Wu
https://arxiv.org/abs/2508.14104

You Don't Know Until You Click:Automated GUI Testing for Production-Ready Software Evaluation
Large Language Models (LLMs) and code agents in software development are rapidly evolving from generating isolated code snippets to producing full-fledged software applications with graphical interfaces, interactive logic, and dynamic behaviors. However, current benchmarks fall short in evaluating such production-ready software, as they often rely on static checks or binary pass/fail scripts, failing to capture the interactive behaviors and runtime dynamics that define real-world usability - qu…

RUM: Rule LLM-Based Comprehensive Assessment on Testing Skills
Yue Wang, Zhenyu Chen, Yuan Zhao, Chunrong Fang, Ziyuan Wang, Song Huang
https://arxiv.org/abs/2508.12922 https://…

RUM: Rule+LLM-Based Comprehensive Assessment on Testing Skills
Over the past eight years, the META method has served as a multidimensional testing skill assessment system in the National College Student Contest on Software Testing, successfully assessing over 100,000 students' testing skills. However, META is primarily limited to the objective assessment of test scripts, lacking the ability to automatically assess subjective aspects such as test case and test report. To address this limitation, this paper proposes RUM, a comprehensive assessment approach t…

ScamAgents: How AI Agents Can Simulate Human-Level Scam Calls
Sanket Badhe
https://arxiv.org/abs/2508.06457 https://arxiv.org/pdf/2508.06457

ScamAgents: How AI Agents Can Simulate Human-Level Scam Calls
Large Language Models (LLMs) have demonstrated impressive fluency and reasoning capabilities, but their potential for misuse has raised growing concern. In this paper, we present ScamAgent, an autonomous multi-turn agent built on top of LLMs, capable of generating highly realistic scam call scripts that simulate real-world fraud scenarios. Unlike prior work focused on single-shot prompt misuse, ScamAgent maintains dialogue memory, adapts dynamically to simulated user responses, and employs dece…

On the synchronization between Hugging Face pre-trained language models and their upstream GitHub repository
Ajibode Adekunle, Abdul Ali Bangash, Bram Adams, Ahmed E. Hassan
https://arxiv.org/abs/2508.10157

On the synchronization between Hugging Face pre-trained language models and their upstream GitHub repository
Pretrained language models (PTLMs) have advanced natural language processing (NLP), enabling progress in tasks like text generation and translation. Like software package management, PTLMs are trained using code and environment scripts in upstream repositories (e.g., GitHub, GH) and distributed as variants via downstream platforms like Hugging Face (HF). Coordinating development between GH and HF poses challenges such as misaligned release timelines, inconsistent versioning, and limited reuse o…