Tootfinder

🇺🇦 #NowPlaying on KEXP's #Early
Sleater‐Kinney:
🎵 Step Aside
#SleaterKinney
https://open.spotify.com/track/3Z1G48R7n658TPJbLyOiLx

Bahçe işiyle uğraşmanın en önemli özelliklerinden biri paylaşmaktır. İsteyen olursa mektup zarfıyla yollarım.
#garden #gardening #garten

Właśnie się zorientowałem, że mobilna wersja #Thunderbird na #Android to chyba tak naprawdę #K9Mail w delikatnie zmienionej kolorystyce.

A hot day in the Swiss Alps: record temperatures for September (on the 19th!) in Zermatt, at 1600 m altitude, near the Matterhorn: 28.8°C and Davos, at 1560 m: 26.1°C.
https://www.meteoschweiz.admin.ch/ueber-uns/meteoschweiz…

Hochsommerlich im September - MeteoSchweiz

Global convergence of adaptive least-squares finite element methods for nonlinear PDEs
Philipp Bringmann, Dirk Praetorius
https://arxiv.org/abs/2509.01531 https://

Global convergence of adaptive least-squares finite element methods for nonlinear PDEs
The Zarantonello fixed-point iteration is an established linearization scheme for quasilinear PDEs with strongly monotone and Lipschitz continuous nonlinearity. This paper presents a weighted least-squares minimization for the computation of the update of this scheme. The resulting formulation allows for a conforming finite element discretization of the primal and dual variable of the PDE with arbitrary polynomial degree. The least-squares functional provides a built-in a posteriori discretizat…

@… 3-4 yıldır sadece telefonla ve telegram üzerinden görüştüğüm bir arkadaştı. Ama linux forumlarından uzun yıllardır biliyordum. Çaylak penguen takma adını kullanırdı. Özgür yazılım ve Linux konusunda derya denizdi. Kendisi ile Türkçe sosyal medya bile yapmıştık(ben sadece çevirisini yapmıştım).
Uzun zamandır yazmayınca arayayım dedim. Telefonu eşi açtı. Şu…

Replaced article(s) found for cs.AR. https://arxiv.org/list/cs.AR/new
[1/1]:
- OptGM: An Optimized Gate Merging Method to Mitigate NBTI in Digital Circuits
Maryam Ghane, Amir M. Hajisadeghi, Hamid R. Zarandi

Do\u{g}al Dil \.I\c{s}lemede Tokenizasyon Standartlar{\i} ve \"Ol\c{c}\"um\"u: T\"urk\c{c}e \"Uzerinden B\"uy\"uk Dil Modellerinin Kar\c{s}{\i}la\c{s}t{\i}rmal{\i} Analizi
M. Ali Bayram, Ali Arda Fincan, Ahmet Semih G\"um\"u\c{s}, Sercan Karaka\c{s}, Banu Diri, Sava\c{s} Y{\i}ld{\i}r{\i}m
https://

Doğal Dil İşlemede Tokenizasyon Standartları ve Ölçümü: Türkçe Üzerinden Büyük Dil Modellerinin Karşılaştırmalı Analizi
Tokenization is a fundamental preprocessing step in Natural Language Processing (NLP), significantly impacting the capability of large language models (LLMs) to capture linguistic and semantic nuances. This study introduces a novel evaluation framework addressing tokenization challenges specific to morphologically-rich and low-resource languages such as Turkish. Utilizing the Turkish MMLU (TR-MMLU) dataset, comprising 6,200 multiple-choice questions from the Turkish education system, we assesse…