Tootfinder

Large recovery budget: Ukraine is a priority for the EU: https://benborges.xyz/2025/07/13/large-recovery-budget-ukraine-is.html

ICE Lawyers Are Hiding Their Names in Immigration Court (Debbie Nathan/The Intercept)
https://theintercept.com/2025/07/15/ice-lawyers-hiding-names-court/
http://www.memeorandum.com/250715/p68#a250715p68

"Judge Michael Wilner imposed $31,000 in sanctions against the law firms involved, saying 'no reasonably competent attorney should out-source research and writing' to AI" #aiethics
https://www.

Using Large Language Models for Legal Decision-Making in Austrian Value-Added Tax Law: An Experimental Study
Marina Luketina, Andrea Benkel, Christoph G. Schuetz
https://arxiv.org/abs/2507.08468

Using Large Language Models for Legal Decision-Making in Austrian Value-Added Tax Law: An Experimental Study
This paper provides an experimental evaluation of the capability of large language models (LLMs) to assist in legal decision-making within the framework of Austrian and European Union value-added tax (VAT) law. In tax consulting practice, clients often describe cases in natural language, making LLMs a prime candidate for supporting automated decision-making and reducing the workload of tax professionals. Given the requirement for legally grounded and well-justified analyses, the propensity of L…

Kind of amazing that you can dot a couple of messages like this around the internet https://post.lurk.org/@yaxu/114188134015638878
and then end up with ~40 lovely people hanging out with their computers in the middle of nowhere, what a great thing

For Father's Day I march with my child in solidarity, love, and grief for all the fathers left in Palestine and for all who've been slaughtered and for all who've had their children massacred or maimed by Israel.
#Galway #Ireland

Top Lawyers Leaving Willkie Farr After Law Firm's Deal With Trump (Wall Street Journal)
https://www.wsj.com/politics/policy/top-lawyers-leaving-willkie-farr-after-law-firms-deal-with-trump-97f89ef9?st=Ksyrid&reflink=desktopwebshare_permalink
http://www.memeorandum.com/250613/p145#a250613p145

A Survey of Large Language Models in Discipline-specific Research: Challenges, Methods and Opportunities
Lu Xiang, Yang Zhao, Yaping Zhang, Chengqing Zong
https://arxiv.org/abs/2507.08425

A Survey of Large Language Models in Discipline-specific Research: Challenges, Methods and Opportunities
Large Language Models (LLMs) have demonstrated their transformative potential across numerous disciplinary studies, reshaping the existing research methodologies and fostering interdisciplinary collaboration. However, a systematic understanding of their integration into diverse disciplines remains underexplored. This survey paper provides a comprehensive overview of the application of LLMs in interdisciplinary studies, categorising research efforts from both a technical perspective and with reg…

Diagnosing Failures in Large Language Models' Answers: Integrating Error Attribution into Evaluation Framework
Zishan Xu, Shuyi Xie, Qingsong Lv, Shupei Xiao, Linlin Song, Sui Wenjuan, Fan Lin
https://arxiv.org/abs/2507.08459

Diagnosing Failures in Large Language Models' Answers: Integrating Error Attribution into Evaluation Framework
With the widespread application of Large Language Models (LLMs) in various tasks, the mainstream LLM platforms generate massive user-model interactions daily. In order to efficiently analyze the performance of models and diagnose failures in their answers, it is essential to develop an automated framework to systematically categorize and attribute errors. However, existing evaluation models lack error attribution capability. In this work, we establish a comprehensive Misattribution Framework wi…

Finding Common Ground: Using Large Language Models to Detect Agreement in Multi-Agent Decision Conferences
Selina Heller, Mohamed Ibrahim, David Antony Selby, Sebastian Vollmer
https://arxiv.org/abs/2507.08440

Finding Common Ground: Using Large Language Models to Detect Agreement in Multi-Agent Decision Conferences
Decision conferences are structured, collaborative meetings that bring together experts from various fields to address complex issues and reach a consensus on recommendations for future actions or policies. These conferences often rely on facilitated discussions to ensure productive dialogue and collective agreement. Recently, Large Language Models (LLMs) have shown significant promise in simulating real-world scenarios, particularly through collaborative multi-agent systems that mimic group in…