Tootfinder

Pentagon City mall, shot and chaser

"German lawyers who work with any of the nine U.S. law firms that made deals with the Trump administration could be in breach of the German legal professional code of conduct, the German Bar Association (DAV) has warned."
German Bar Association Warns That Working With Yellow-Bellied Firms Could Violate Professional Codes Of Conduct - Above the Law
https://abovethelaw.com/2025/06/german-bar-association-warns-that-working-with-yellow-bellied-firms-could-violate-professional-codes-of-conduct/

Understanding and Mitigating Errors of LLM-Generated RTL Code
Jiazheng Zhang, Cheng Liu, Huawei Li
https://arxiv.org/abs/2508.05266 https://arxiv.org/pdf/2…

Understanding and Mitigating Errors of LLM-Generated RTL Code
Despite the promising potential of large language model (LLM) based register-transfer-level (RTL) code generation, the overall success rate remains unsatisfactory. Errors arise from various factors, with limited understanding of specific failure causes hindering improvement. To address this, we conduct a comprehensive error analysis and manual categorization. Our findings reveal that most errors stem not from LLM reasoning limitations, but from insufficient RTL programming knowledge, poor under…

#DH2025 folk, a gentle reminder about the ADHO conference code of conduct https://adho.org/code-of-conduct/ - while international tensions are understandably high, please be mindful of how you speak to…

Fun with flags: How Compilers Break and Fix Constant-Time Code
Antoine Geimer, Clementine Maurice
https://arxiv.org/abs/2507.06112 https://

Fun with flags: How Compilers Break and Fix Constant-Time Code
Developers rely on constant-time programming to prevent timing side-channel attacks. But these efforts can be undone by compilers, whose optimizations may silently reintroduce leaks. While recent works have measured the extent of such leakage, they leave developers without actionable insights: which optimization passes are responsible, and how to disable them without modifying the compiler remains unclear. In this paper, we conduct a qualitative analysis of how compiler optimizations break co…

A Comparative Study of Specialized LLMs as Dense Retrievers
Hengran Zhang, Keping Bi, Jiafeng Guo
https://arxiv.org/abs/2507.03958 https://

A Comparative Study of Specialized LLMs as Dense Retrievers
While large language models (LLMs) are increasingly deployed as dense retrievers, the impact of their domain-specific specialization on retrieval effectiveness remains underexplored. This investigation systematically examines how task-specific adaptations in LLMs influence their retrieval capabilities, an essential step toward developing unified retrievers capable of handling text, code, images, and multimodal content. We conduct extensive experiments with eight Qwen2.5 7B LLMs, including base,…

FOIA docs: the Trump administration claimed broad authority to nullify laws in letters to tech firms releasing them of legal liability related to the TikTok ban (Charlie Savage/New York Times)
https://www.nyt…

How the Trump Administration Justified Ignoring the TikTok Ban
In purporting to license otherwise illegal conduct by tech firms, President Trump set a precedent expanding executive power, legal experts warned.

I think the main chat channel for the live coding conference @… is on the 'live code earth' telegram group:
https://t.me/ xVw8n42FHk84MTc0
I hear it w…

What is SSSS?
SSSS stands for
"Secondary Security Screening Selection"
by the U.S. Department of Homeland Security
and is displayed on boarding passes as a four-letter code.
The symbol prompts officers to conduct additional security screenings on a passenger.
Travelers can receive an SSSS on their boarding pass for both domestic and international flights to and from the U.S.
Those flagged with the designation have reported their carry-on…

Mrs. Betty Bowers (@mrsbettybowers.bsky.social)
Being penalized for political speech is not unique to the Trump administration. When I was a writer for the WhiteHouse.Org website, which mercilessly spoofed the George W. Bush administration, I constantly got "SSSS" written on my boarding passes. My carry-on was placed on the gangway and searched.

SACL: Understanding and Combating Textual Bias in Code Retrieval with Semantic-Augmented Reranking and Localization
Dhruv Gupta, Gayathri Ganesh Lakshmy, Yiqing Xie
https://arxiv.org/abs/2506.20081

SACL: Understanding and Combating Textual Bias in Code Retrieval with Semantic-Augmented Reranking and Localization
Retrieval-Augmented Code Generation (RACG) is a critical technique for enhancing code generation by retrieving relevant information. In this work, we conduct an in-depth analysis of code retrieval by systematically masking specific features while preserving code functionality. Our discoveries include: (1) although trained on code, current retrievers heavily rely on surface-level textual features (e.g., docstrings, identifier names), and (2) they exhibit a strong bias towards well-documented cod…

Low-Latency Software Polar Encoders and Decoders for Short Blocklengths
Mathieu Leonardon (IMT Atlantique - MEE, Lab\_STICC\_BRAIn), Mohammed El Houcine Ayoubi (IMT Atlantique), Adrien Cassagne (ALSOC), Romain Tajan (Bordeaux INP, UB), Camille Leroux (Bordeaux INP, UB)
https://arxiv.org/abs/2507.04734

Low-Latency Software Polar Encoders and Decoders for Short Blocklengths
This paper presents our low-latency Polar code encoders and decoders developed for the 2025 International Symposium on Topics in Coding (ISTC 2025) contest, which challenges participants to implement the fastest possible channel code encoders and decoders in terms of average and maximum latency on a CPU target. Our solution is based on Polar codes with an Adaptive Successive Cancellation List (ASCL) decoder. We introduce a novel ASCL unrolled decoder generator. We conduct an extensive explorati…

It's so nice when companies only make small changes to their code of conduct. Google dropped the word "Don't" from their foundational guiding principle.
I guess that makes it easier to make money.
https://www.theguardian.com/t…

It's so nice when companies only make small changes to their code of conduct. Google dropped the word "Don't" from their foundational guiding principle.
I guess that makes it easier to make money.
https://www.theguardian.com/t…

CCISolver: End-to-End Detection and Repair of Method-Level Code-Comment Inconsistency
Renyi Zhong, Yintong Huo, Wenwei Gu, Jinxi Kuang, Zhihan Jiang, Guangba Yu, Yichen Li, David Lo, Michael R. Lyu
https://arxiv.org/abs/2506.20558

CCISolver: End-to-End Detection and Repair of Method-Level Code-Comment Inconsistency
Comments within code serve as a crucial foundation for software documentation, facilitating developers to communicate and understand the code effectively. However, code-comment inconsistency (CCI) can negatively affect software development, testing, and maintenance. Recent efforts to mitigate this issue have emerged, but existing studies often suffer from inaccurate datasets and inadequate solutions, weakening their practical effectiveness. In this study, we first conduct a quantitative analysi…

This https://arxiv.org/abs/2505.24785 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csAI_…

EXP-Bench: Can AI Conduct AI Research Experiments?
Automating AI research holds immense potential for accelerating scientific progress, yet current AI agents struggle with the complexities of rigorous, end-to-end experimentation. We introduce EXP-Bench, a novel benchmark designed to systematically evaluate AI agents on complete research experiments sourced from influential AI publications. Given a research question and incomplete starter code, EXP-Bench challenges AI agents to formulate hypotheses, design and implement experimental procedures, …

ADHO (adho.org) updates at the opening of #DH2025 from Diane and Michael - the Italian Digital Humanities association officially joins ADHO, and announces awards including the Zampoli prize to Stylo software, the conference bursaries winners and Fortier prize nominees. Also note the Code of Conduct!

Dzisiejsi programiści: "zgoda? po co nam zgoda, po prostu nadpiszemy ci wszystkie menadżery paczek Pythona — naszą paczką. Co może pójść nie tak?!"
A dowcip w tym taki, że ja nawet tego tak naprawdę nie zainstalowałem — tylko robiłem przypadkowe poprawki, i uruchomiłem testy w venvie.
https://github…

This https://arxiv.org/abs/2411.00006 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSE_…

Personality-Guided Code Generation Using Large Language Models
Code generation, the automatic creation of source code from natural language descriptions, has garnered significant attention due to its potential to streamline software development. Inspired by research that links task-personality alignment with improved development outcomes, we conduct an empirical study on personality-guided code generation using large language models (LLMs). Specifically, we investigate how emulating personality traits appropriate to the coding tasks affects LLM performance…

SILCC -- IX. The multi-phase interstellar medium at low metallicity
Vittoria Brugaletta, Stefanie Walch, Thorsten Naab, Tim-Eric Rathjen, Philipp Girichidis, Daniel Seifried, Pierre Colin N\"urnberger, Richard W\"unsch, Simon C. O. Glover, Sanjit Pal, Lukas Wasmuth
https://arxiv.org/abs/2507.08126

SILCC -- IX. The multi-phase interstellar medium at low metallicity
The gas-phase metallicity affects heating and cooling processes in the star-forming galactic interstellar medium (ISM) as well as ionising luminosities, wind strengths, and lifetimes of massive stars. To investigate its impact, we conduct magnetohydrodynamic simulations of the ISM using the FLASH code as part of the SILCC project. The simulations assume a gas surface density of 10 M$_\odot$ pc$^{-2}$ and span metallicities from 1/50 Z$_\odot$ to 1 Z$_\odot$. We include non-equilibrium thermo-ch…

Code with Me or for Me? How Increasing AI Automation Transforms Developer Workflows
Valerie Chen, Ameet Talwalkar, Robert Brennan, Graham Neubig
https://arxiv.org/abs/2507.08149

Code with Me or for Me? How Increasing AI Automation Transforms Developer Workflows
Developers now have access to a growing array of increasingly autonomous AI tools to support software development. While numerous studies have examined developer use of copilots, which can provide chat assistance or code completions, evaluations of coding agents, which can automatically write files and run code, still largely rely on static benchmarks without humans-in-the-loop. In this work, we conduct the first academic study to explore developer interactions with coding agents and characteri…

Detecting Hard-Coded Credentials in Software Repositories via LLMs
Chidera Biringa, Gokhan Kul
https://arxiv.org/abs/2506.13090 https://

Detecting Hard-Coded Credentials in Software Repositories via LLMs
Software developers frequently hard-code credentials such as passwords, generic secrets, private keys, and generic tokens in software repositories, even though it is strictly advised against due to the severe threat to the security of the software. These credentials create attack surfaces exploitable by a potential adversary to conduct malicious exploits such as backdoor attacks. Recent detection efforts utilize embedding models to vectorize textual credentials before passing them to classifier…

How Robust are LLM-Generated Library Imports? An Empirical Study using Stack Overflow
Jasmine Latendresse, SayedHassan Khatoonabadi, Emad Shihab
https://arxiv.org/abs/2507.10818

How Robust are LLM-Generated Library Imports? An Empirical Study using Stack Overflow
Software libraries are central to the functionality, security, and maintainability of modern code. As developers increasingly turn to Large Language Models (LLMs) to assist with programming tasks, understanding how these models recommend libraries is essential. In this paper, we conduct an empirical study of six state-of-the-art LLMs, both proprietary and open-source, by prompting them to solve real-world Python problems sourced from Stack Overflow. We analyze the types of libraries they import…

Detecting Hard-Coded Credentials in Software Repositories via LLMs
Chidera Biringa, Gokhan Kul
https://arxiv.org/abs/2506.13090 https://

Detecting Hard-Coded Credentials in Software Repositories via LLMs
Software developers frequently hard-code credentials such as passwords, generic secrets, private keys, and generic tokens in software repositories, even though it is strictly advised against due to the severe threat to the security of the software. These credentials create attack surfaces exploitable by a potential adversary to conduct malicious exploits such as backdoor attacks. Recent detection efforts utilize embedding models to vectorize textual credentials before passing them to classifier…