Tootfinder

Languages Still Left Behind: Toward a Better Multilingual Machine Translation Benchmark
Chihiro Taguchi, Seng Mai, Keita Kurabe, Yusuke Sakai, Georgina Agyei, Soudabeh Eslami, David Chiang
https://arxiv.org/abs/2508.20511

Languages Still Left Behind: Toward a Better Multilingual Machine Translation Benchmark
Multilingual machine translation (MT) benchmarks play a central role in evaluating the capabilities of modern MT systems. Among them, the FLORES+ benchmark is widely used, offering English-to-many translation data for over 200 languages, curated with strict quality control protocols. However, we study data in four languages (Asante Twi, Japanese, Jinghpaw, and South Azerbaijani) and uncover critical shortcomings in the benchmark's suitability for truly multilingual evaluation. Human assessments…

A new class of regularized preconditioners for double saddle-point problems
Achraf Badahmane
https://arxiv.org/abs/2508.19469 https://arxiv.org/pdf/2508.19…

A new class of regularized preconditioners for double saddle-point problems
The block structure of double saddle-point problems has prompted extensive research into efficient preconditioners. This paper introduces a novel class of three-by-three block preconditioners tailored for such systems from the time-dependent Maxwell equations or liquid crystal director modeling. The main motivation of this work is to highlight the limitations of recent preconditioners under high Reynolds numbers, as the original studies did not explore this scenario, and to demonstrate that our…

Cirque de Old Age

AgriVLN: Vision-and-Language Navigation for Agricultural Robots
Xiaobei Zhao, Xingqi Lyu, Xiang Li
https://arxiv.org/abs/2508.07406 https://arxiv.org/pdf/2…

AgriVLN: Vision-and-Language Navigation for Agricultural Robots
Agricultural robots have emerged as powerful members in agricultural tasks, nevertheless, still heavily rely on manual operation or untransportable railway for movement, resulting in limited mobility and poor adaptability. Vision-and-Language Navigation (VLN) enables robots to navigate to the target destinations following natural language instructions, demonstrating strong performance on several domains. However, none of the existing benchmarks or methods is specifically designed for agricultur…

Es ist still geworden um das Geschehen in der Manege. Geschuldet ist dies vermutlich aufgrund der Übermüdung aller Akrobat:innen. Viele haben ihr Repertoire an Kunststücken auch schon ausgeschöpft und die Manege verlassen. Die Älteren sind wie gewohnt widerstandsfähiger und schöpfen aus ihrer Erfahrung. Hier wird es wohl noch etwas dauern. #dem25 ^mr