Tootfinder

Augmenting Large Language Models with Static Code Analysis for Automated Code Quality Improvements
Seyed Moein Abtahi, Akramul Azim
https://arxiv.org/abs/2506.10330

Augmenting Large Language Models with Static Code Analysis for Automated Code Quality Improvements
This study examined code issue detection and revision automation by integrating Large Language Models (LLMs) such as OpenAI's GPT-3.5 Turbo and GPT-4o into software development workflows. A static code analysis framework detects issues such as bugs, vulnerabilities, and code smells within a large-scale software project. Detailed information on each issue was extracted and organized to facilitate automated code revision using LLMs. An iterative prompt engineering process is applied to ensure tha…

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A historical guide to surviving and thriving in the court of Trump
https://www.economist.com/1843/2025/06/06/a-historical-guide-to-surviving-and-thriving-in-the-court-of-trump?giftId=a04100b1-948e-42b1-9c50-660430689d86&utm_campaign=gifted_article

Surgeons Awareness, Expectations, and Involvement with Artificial Intelligence: a Survey Pre and Post the GPT Era
Lorenzo Arboit, Dennis N. Schneider, Toby Collins, Daniel A. Hashimoto, Silvana Perretta, Bernard Dallemagne, Jacques Marescaux, EAES Working Group, Nicolas Padoy, Pietro Mascagni
https://arxiv.org/abs/2506.08258

Surgeons Awareness, Expectations, and Involvement with Artificial Intelligence: a Survey Pre and Post the GPT Era
Artificial Intelligence (AI) is transforming medicine, with generative AI models like ChatGPT reshaping perceptions of its potential. This study examines surgeons' awareness, expectations, and involvement with AI in surgery through comparative surveys conducted in 2021 and 2024. Two cross-sectional surveys were distributed globally in 2021 and 2024, the first before an IRCAD webinar and the second during the annual EAES meeting. The surveys assessed demographics, AI awareness, expectations, inv…

Advancing Exchange Rate Forecasting: Leveraging Machine Learning and AI for Enhanced Accuracy in Global Financial Markets
Md. Yeasin Rahat, Rajan Das Gupta, Nur Raisa Rahman, Sudipto Roy Pritom, Samiur Rahman Shakir, Md Imrul Hasan Showmick, Md. Jakir Hossen
https://arxiv.org/abs/2506.09851

Advancing Exchange Rate Forecasting: Leveraging Machine Learning and AI for Enhanced Accuracy in Global Financial Markets
The prediction of foreign exchange rates, such as the US Dollar (USD) to Bangladeshi Taka (BDT), plays a pivotal role in global financial markets, influencing trade, investments, and economic stability. This study leverages historical USD/BDT exchange rate data from 2018 to 2023, sourced from Yahoo Finance, to develop advanced machine learning models for accurate forecasting. A Long Short-Term Memory (LSTM) neural network is employed, achieving an exceptional accuracy of 99.449%, a Root Mean Sq…

Subsidy-guzzling regional airport Maastricht loses Ryanair. Only some Corendon summer flights left now some cargo. https://www.nu.nl/economie/6357463/ryanair-stopt-vanwege-buitensporige-kosten-met-vliegen-vanaf-maastricht…

Ryanair stopt vanwege 'buitensporige' kosten met vliegen vanaf Maastricht
Ryanair annuleert per 26 oktober alle vluchten vanaf de luchthaven van Maastricht. De lowcostmaatschappij geeft "buitensporige kostenstijgingen" op als reden. Daarmee gaan 150.000 stoelen per jaar verloren en verdwijnen vijf directe verbindingen.

Atomkraftwerk Saporischschja: Kein Anzeichen für Wiederinbetriebnahme
In der Ukraine gibt es keine Anzeichen dafür, dass Russland die Wiederinbetriebnahme des von ihm besetzten Kernkraftwerks Saporischschja vorbereitet, sagte ein Beamter der UN-Atomaufsichtsbehörde. "Unsere Teams bestätigen weiterhin, dass es im Moment keine Anzeichen für aktive Vorbereitungen für einen Neustart des Kraftwerks gibt“, so der Beamte der Interna…
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Ukraine-Liveblog: ++Ukraine meldet einen Toten durch Drohnenangriffe ++
Die Ukraine meldet einen Toten durch russische Drohnen in der Region Sumy. Russland hat nach eigenen Angaben mehrere ukrainische Drohnen abgeschossen.

‘ #Klimaatbeleid gaat om het beschermen van de schepping,’ zegt deze voormalig adviseur van Merkel en de Europese industrie geeft de Green Deal onterecht de schuld van haar eigen falen

‘Klimaatbeleid gaat om het beschermen van de schepping,’ zegt deze voormalig adviseur van Merkel
De Europese industrie geeft de Green Deal onterecht de schuld van haar eigen falen, stelt klimaateconoom Ottmar Edenhofer. Om economisch competitief te blijven moet de EU juist vasthouden aan ambitieus klimaatbeleid. ‘De groene transitie is enorm, en bij dergelijke transformaties zijn er altijd winnaars en verliezers.’

Can LLMs Talk 'Sex'? Exploring How AI Models Handle Intimate Conversations
Huiqian Lai
https://arxiv.org/abs/2506.05514 https://

Can LLMs Talk 'Sex'? Exploring How AI Models Handle Intimate Conversations
This study examines how four prominent large language models (Claude 3.7 Sonnet, GPT-4o, Gemini 2.5 Flash, and Deepseek-V3) handle sexually oriented requests through qualitative content analysis. By evaluating responses to prompts ranging from explicitly sexual to educational and neutral control scenarios, the research reveals distinct moderation paradigms reflecting fundamentally divergent ethical positions. Claude 3.7 Sonnet employs strict and consistent prohibitions, while GPT-4o navigates u…

NATO bestätigt Einladung der Ukraine zum Gipfel
Die NATO hat nach eigenen Angaben die Ukraine zum Treffen der Staats- und Regierungschefs der Allianz Ende Juni eingeladen. Er könne bestätigen, "dass die Ukraine mit uns in Den Haag sein wird", sagte ein NATO-Vertreter der Nachrichtenagentur AFP. Die Tagesordnung des Gipfels werde "zu gegebener Zeit" veröffentlicht, fügte er hinzu.
Über die Teilnahme der Ukraine an dem Gipfel …
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Ukraine-Liveblog: ++ Ukraine-Verbündete beraten über weitere Hilfen ++
Auf Einladung Deutschlands und Großbritanniens kommt am Mittwoch die sogenannte Ramstein-Gruppe zusammen, um über weitere Hilfen für die Ukraine zu beraten - die USA nehmen nicht teil. Moskau fordert die Anerkennung der eroberten Gebiete.

CETBench: A Novel Dataset constructed via Transformations over Programs for Benchmarking LLMs for Code-Equivalence Checking
Neeva Oza, Ishaan Govil, Parul Gupta, Dinesh Khandelwal, Dinesh Garg, Parag Singla
https://arxiv.org/abs/2506.04019

CETBench: A Novel Dataset constructed via Transformations over Programs for Benchmarking LLMs for Code-Equivalence Checking
LLMs have been extensively used for the task of automated code generation. In this work, we examine the applicability of LLMs for the related but relatively unexplored task of code-equivalence checking, i.e., given two programs, whether they are functionally equivalent or not. This is an important problem since benchmarking code equivalence can play a critical role in evaluating LLM capabilities for tasks such as code re-writing and code translation. Towards this end, we present CETBench - Code…