Tootfinder

So glad the US is going through difficult-to-replace missile interceptors (THAAD, Patriot, etc.) on a war of choice instead of having any in case North Korea or China decide to do anything.
So wise, so safe, our child-fondler in chief is exactly who we need as a leader at this time. /s
https:/…

North Korea conducts engine test for long-range missile
North Korea reports that Kim Jong Un watched a test of an upgraded solid-fuel engine for missiles that can reach the U.S. mainland. State media say the test boosts the country’s strategic strike capability. Experts say the claim may be exaggerated because key data is missing. Some say the program faces delays or seeks a better design. Solid-fuel engines help missiles move fast and hide before launch. North Korea has pushed hard to expand its nuclear arsenal since Kim’s high-stakes diplomacy…

Trump's latest war may end with the United States and its allies
(or, rather, countries that used to be allies)
worse off than when the war started.
His feckless and irresponsible secretary of defense acknowledged on Tuesday that Iran retains the ability to launch missiles and drones.
(Pete Kegsbreath is mystified that the MAGA base, which was told Trump opposed regime-change wars, is upset.)
He also insisted regime change has already occurred, a sign of h…

Trump Is Serious About Accepting a Humiliating Defeat
The disastrous war could end in a geopolitical nightmare.

#Jellyfin for #Roku 3.1.8-RC1 has been released
Testers, please load the candidate and test it out. We have some major changes this round, so we need as many peeps as possible to kick the tires.
As usual, our primary focus are bugs in the new features or new bugs introduced by the ne…

Attorney General Pam Bondi emerged from a House Judiciary Committee hearing in February in an upbeat mood after delivering what she believed was her best,
which is to say most bombastically defiant,
defense of her handling of the release of the Epstein files.
Many others, including some of her allies, thought her testimony
— hours of high-volume insults and non sequiturs (“The Dow is over $50,000 now!”)
— was a miscalculation that only deepened distrust of Ms. B…

Bondi Is Vulnerable as Republican Frustrations Over DOJ’s Epstein Files Missteps Grow
Attorney General Pam Bondi’s critics inside and outside the administration say she has made unforced errors that have turned the Justice Department’s handling of the Epstein files into a political crisis.

On that topic, see my text in the “Software in Context” section at the bottom of this reading assignment from one of the courses I teach:
“Generating code is the easiest part of software development.”
https://comp127.macalester.digital/f25/resources/classes_objects_state_behavior/

HeatMat: Simulation of City Material Impact on Urban Heat Island Effect
Marie Reinbigler, Romain Rouffet, Peter Naylor, Mikolaj Czerkawski, Nikolaos Dionelis, Elisabeth Brunet, Catalin Fetita, Rosalie Martin
https://arxiv.org/abs/2601.22796 https://arxiv.org/pdf/2601.22796 https://arxiv.org/html/2601.22796
arXiv:2601.22796v1 Announce Type: new
Abstract: The Urban Heat Island (UHI) effect, defined as a significant increase in temperature in urban environments compared to surrounding areas, is difficult to study in real cities using sensor data (satellites or in-situ stations) due to their coarse spatial and temporal resolution. Among the factors contributing to this effect are the properties of urban materials, which differ from those in rural areas. To analyze their individual impact and to test new material configurations, a high-resolution simulation at the city scale is required. Estimating the current materials used in a city, including those on building facades, is also challenging. We propose HeatMat, an approach to analyze at high resolution the individual impact of urban materials on the UHI effect in a real city, relying only on open data. We estimate building materials using street-view images and a pre-trained vision-language model (VLM) to supplement existing OpenStreetMap data, which describes the 2D geometry and features of buildings. We further encode this information into a set of 2D maps that represent the city's vertical structure and material characteristics. These maps serve as inputs for our 2.5D simulator, which models coupled heat transfers and enables random-access surface temperature estimation at multiple resolutions, reaching an x20 speedup compared to an equivalent simulation in 3D.
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Finally got around to liberate one of my Kindle ereaders with the guides from https://kindlemodding.org
Easy enough to do. Will load my liberated ebooks on it tomorrow
/cx @…

Maastricht hoopt op een positieve uitkomst van de DNA-test 😃
Skelet van vierde musketier d'Artagnan mogelijk na eeuwen gevonden - #maastricht

Skelet van vierde musketier d'Artagnan mogelijk na eeuwen gevonden
D'Artagnan werd in 1673 vermoord toen de Fransen Maastricht probeerden te belegeren, en zijn lichaam is sindsdien nooit gevonden.

Afgelopen zaterdag heb ik het mogelijk gemaakt om ALT teksten toe te voegen aan de posts van @… via https://dirkjanbot.nl en het werkt! Elke keer een klein huppeltje als blijkt dat iemand de AL…

Replaced article(s) found for cs.CL. https://arxiv.org/list/cs.CL/new
[2/5]:
- POTSA: A Cross-Lingual Speech Alignment Framework for Speech-to-Text Translation
Li, Cui, Wang, Ge, Huang, Li, Peng, Lu, Tashi, Wang, Dang
https://arxiv.org/abs/2511.09232 https://mastoxiv.page/@arXiv_csCL_bot/115541846907664054
- Beyond Elicitation: Provision-based Prompt Optimization for Knowledge-Intensive Tasks
Yunzhe Xu, Zhuosheng Zhang, Zhe Liu
https://arxiv.org/abs/2511.10465 https://mastoxiv.page/@arXiv_csCL_bot/115547607561282911
- $\pi$-Attention: Periodic Sparse Transformers for Efficient Long-Context Modeling
Dong Liu, Yanxuan Yu
https://arxiv.org/abs/2511.10696 https://mastoxiv.page/@arXiv_csCL_bot/115564418836654965
- Based on Data Balancing and Model Improvement for Multi-Label Sentiment Classification Performanc...
Zijin Su, Huanzhu Lyu, Yuren Niu, Yiming Liu
https://arxiv.org/abs/2511.14073 https://mastoxiv.page/@arXiv_csCL_bot/115575715073023141
- HEAD-QA v2: Expanding a Healthcare Benchmark for Reasoning
Alexis Correa-Guill\'en, Carlos G\'omez-Rodr\'iguez, David Vilares
https://arxiv.org/abs/2511.15355 https://mastoxiv.page/@arXiv_csCL_bot/115581410328165116
- Towards Hyper-Efficient RAG Systems in VecDBs: Distributed Parallel Multi-Resolution Vector Search
Dong Liu, Yanxuan Yu
https://arxiv.org/abs/2511.16681 https://mastoxiv.page/@arXiv_csCL_bot/115603508442305146
- Estonian WinoGrande Dataset: Comparative Analysis of LLM Performance on Human and Machine Transla...
Marii Ojastu, Hele-Andra Kuulmets, Aleksei Dorkin, Marika Borovikova, Dage S\"arg, Kairit Sirts
https://arxiv.org/abs/2511.17290 https://mastoxiv.page/@arXiv_csCL_bot/115604083224487885
- A Systematic Study of In-the-Wild Model Merging for Large Language Models
O\u{g}uz Ka\u{g}an Hitit, Leander Girrbach, Zeynep Akata
https://arxiv.org/abs/2511.21437 https://mastoxiv.page/@arXiv_csCL_bot/115621178703846052
- CREST: Universal Safety Guardrails Through Cluster-Guided Cross-Lingual Transfer
Lavish Bansal, Naman Mishra
https://arxiv.org/abs/2512.02711 https://mastoxiv.page/@arXiv_csCL_bot/115655090475535157
- Multilingual Medical Reasoning for Question Answering with Large Language Models
Pietro Ferrazzi, Aitor Soroa, Rodrigo Agerri
https://arxiv.org/abs/2512.05658 https://mastoxiv.page/@arXiv_csCL_bot/115683267711014189
- OnCoCo 1.0: A Public Dataset for Fine-Grained Message Classification in Online Counseling Convers...
Albrecht, Lehmann, Poltermann, Rudolph, Steigerwald, Stieler
https://arxiv.org/abs/2512.09804 https://mastoxiv.page/@arXiv_csCL_bot/115700409397020978
- Does Tone Change the Answer? Evaluating Prompt Politeness Effects on Modern LLMs: GPT, Gemini, an...
Hanyu Cai, Binqi Shen, Lier Jin, Lan Hu, Xiaojing Fan
https://arxiv.org/abs/2512.12812 https://mastoxiv.page/@arXiv_csCL_bot/115729149622659403
- Beg to Differ: Understanding Reasoning-Answer Misalignment Across Languages
Ovalle, Ross, Ruder, Williams, Ullrich, Ibrahim, Sagun
https://arxiv.org/abs/2512.22712 https://mastoxiv.page/@arXiv_csCL_bot/115808161882146194
- Activation Steering for Masked Diffusion Language Models
Adi Shnaidman, Erin Feiglin, Osher Yaari, Efrat Mentel, Amit Levi, Raz Lapid
https://arxiv.org/abs/2512.24143 https://mastoxiv.page/@arXiv_csCL_bot/115819533211103315
- JMedEthicBench: A Multi-Turn Conversational Benchmark for Evaluating Medical Safety in Japanese L...
Liu, Li, Niu, Zhang, Xun, Hou, Wang, Iwasawa, Matsuo, Hatakeyama-Sato
https://arxiv.org/abs/2601.01627 https://mastoxiv.page/@arXiv_csCL_bot/115847901607405421
- FACTUM: Mechanistic Detection of Citation Hallucination in Long-Form RAG
Dassen, Kotula, Murray, Yates, Lawrie, Kayi, Mayfield, Duh
https://arxiv.org/abs/2601.05866 https://mastoxiv.page/@arXiv_csCL_bot/115881545684182376
- {\dag}DAGGER: Distractor-Aware Graph Generation for Executable Reasoning in Math Problems
Zabir Al Nazi, Shubhashis Roy Dipta, Sudipta Kar
https://arxiv.org/abs/2601.06853 https://mastoxiv.page/@arXiv_csCL_bot/115887753245730019
- Symphonym: Universal Phonetic Embeddings for Cross-Script Name Matching
Stephen Gadd
https://arxiv.org/abs/2601.06932 https://mastoxiv.page/@arXiv_csCL_bot/115887767008671765
- LLMs versus the Halting Problem: Revisiting Program Termination Prediction
Sultan, Armengol-Estape, Kesseli, Vanegue, Shahaf, Adi, O'Hearn
https://arxiv.org/abs/2601.18987 https://mastoxiv.page/@arXiv_csCL_bot/115972010510378715
- MuVaC: A Variational Causal Framework for Multimodal Sarcasm Understanding in Dialogues
Diandian Guo, Fangfang Yuan, Cong Cao, Xixun Lin, Chuan Zhou, Hao Peng, Yanan Cao, Yanbing Liu
https://arxiv.org/abs/2601.20451 https://mastoxiv.page/@arXiv_csCL_bot/115977891530875024
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