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Erster Tatverdächtiger nach Angriff in Bad Freienwalde ermittelt | rbb24
https://www.rbb24.de/panorama/beitrag/2025/06/brandenburg-bad-freienwalde-angriff-bunt-vielfalt-taeter-ermittelt-polizei…

Details from Ashley Parker and Michael Scherer’s study of Trump’s cellphone habits have a way of lingering in the mind.
The president’s personal number is “broadly circulated.”
He picks up calls from unknown numbers, and keeps a photograph of his own face on his lock screen.
The Cellphone in Chief is a “portal,” Parker and Scherer write,
but it’s also a mirror, a security blanket, and a vulnerability.
Their short psychological study suggests a man who is occasio…

Counting Answer Sets of Disjunctive Answer Set Programs
Mohimenul Kabir, Supratik Chakraborty, Kuldeep S Meel
https://arxiv.org/abs/2507.11655 https://

Counting Answer Sets of Disjunctive Answer Set Programs
Answer Set Programming (ASP) provides a powerful declarative paradigm for knowledge representation and reasoning. Recently, counting answer sets has emerged as an important computational problem with applications in probabilistic reasoning, network reliability analysis, and other domains. This has motivated significant research into designing efficient ASP counters. While substantial progress has been made for normal logic programs, the development of practical counters for disjunctive logic pr…

#Wordle 1,488 4/6*
⬜🟨⬜⬜🟨 <1% of 214,624 (27)
🟨⬜🟨⬜🟨 6% of 122 (7)
🟨🟨⬜🟨🟩 0 of 19 (2)
🟩🟩🟩🟩🟩
WordleBot
Skill 89/99
Luck 52/99
well that was lol funny. I typed in the answer as my 3rd guess and then thought of another word I liked better so I used that as my 3rd guess. I still like my 3rd guess better as I feel it provided more info though, so I don't feel bad!
Bot had a better 3rd guess that would have left only 1 word no matter which of the 7 words the answer was, instead of the 2 that my guess left.

Burnout leave, day negative 9:
🧟‍♀️
I met new stakeholders today. They spent the entire time asking questions about my teams of the security engineer (man) on the call, who answered the questions to the best of his ability.
He is not one of my reports, not on my teams. He did not redirect. I did not say anything.
#BurnoutRecovery

MapIQ: Benchmarking Multimodal Large Language Models for Map Question Answering
Varun Srivastava, Fan Lei, Srija Mukhopadhyay, Vivek Gupta, Ross Maciejewski
https://arxiv.org/abs/2507.11625

MapIQ: Benchmarking Multimodal Large Language Models for Map Question Answering
Recent advancements in multimodal large language models (MLLMs) have driven researchers to explore how well these models read data visualizations, e.g., bar charts, scatter plots. More recently, attention has shifted to visual question answering with maps (Map-VQA). However, Map-VQA research has primarily focused on choropleth maps, which cover only a limited range of thematic categories and visual analytical tasks. To address these gaps, we introduce MapIQ, a benchmark dataset comprising 14,70…

Ramstein Grundsatzurteil: US-Drohnenkrieg, Menschenrechte und Bündnislogik
Über Deutschland ferngesteuerte US-Drohnen fliegen Angriffe im Jemen. 3 Jemeniten sehen ihre Rechte laut Grundgesetz verletzt, scheitern aber vor der Justiz.

Replaced article(s) found for quant-ph. https://arxiv.org/list/quant-ph/new
[2/2]:
- Accelerating MCMC with Quantum Walks: Design, Implementation, and Results
Aingeru Ramos, Jose A. Pascual, Javier Navaridas

ExpliCIT-QA: Explainable Code-Based Image Table Question Answering
Maximiliano Hormaz\'abal Lagos, \'Alvaro Bueno S\'aez, Pedro Alonso Doval, Jorge Alcalde Vesteiro, H\'ector Cerezo-Costas
https://arxiv.org/abs/2507.11694

ExpliCIT-QA: Explainable Code-Based Image Table Question Answering
We present ExpliCIT-QA, a system that extends our previous MRT approach for tabular question answering into a multimodal pipeline capable of handling complex table images and providing explainable answers. ExpliCIT-QA follows a modular design, consisting of: (1) Multimodal Table Understanding, which uses a Chain-of-Thought approach to extract and transform content from table images; (2) Language-based Reasoning, where a step-by-step explanation in natural language is generated to solve the prob…

Focusing on Students, not Machines: Grounded Question Generation and Automated Answer Grading
G\'er\^ome Meyer, Philip Breuer
https://arxiv.org/abs/2506.12066

Focusing on Students, not Machines: Grounded Question Generation and Automated Answer Grading
Digital technologies are increasingly used in education to reduce the workload of teachers and students. However, creating open-ended study or examination questions and grading their answers is still a tedious task. This thesis presents the foundation for a system that generates questions grounded in class materials and automatically grades student answers. It introduces a sophisticated method for chunking documents with a visual layout, specifically targeting PDF documents. This method enhance…