Tootfinder

GenExam: A Multidisciplinary Text-to-Image Exam
Zhaokai Wang, Penghao Yin, Xiangyu Zhao, Changyao Tian, Yu Qiao, Wenhai Wang, Jifeng Dai, Gen Luo
https://arxiv.org/abs/2509.14232

GenExam: A Multidisciplinary Text-to-Image Exam
Exams are a fundamental test of expert-level intelligence and require integrated understanding, reasoning, and generation. Existing exam-style benchmarks mainly focus on understanding and reasoning tasks, and current generation benchmarks emphasize the illustration of world knowledge and visual concepts, neglecting the evaluation of rigorous drawing exams. We introduce GenExam, the first benchmark for multidisciplinary text-to-image exams, featuring 1,000 samples across 10 subjects with exam-st…

“Service academies to accept conservative alternative to SAT and ACT”
And it is called the CLT?
They’ll have to find it first.
Hey oh!
https://www.politico.com/news/2025/09/15/military-academies-clt-standardized-test-00564290…

Dyadically resolving trinomials for fast modular arithmetic
Robert Dougherty-Bliss, Mits Kobayashi, Natalya Ter-Saakov, Eugene Zima
https://arxiv.org/abs/2508.11043 https://

Dyadically resolving trinomials for fast modular arithmetic
Residue number systems based on pairwise relatively prime moduli are a powerful tool for accelerating integer computations via the Chinese Remainder Theorem. We study a structured family of moduli of the form $2^n - 2^k + 1$, originally proposed for their efficient arithmetic and bit-level properties. These trinomial moduli support fast modular operations and exhibit scalable modular inverses. We investigate the problem of constructing large sets of pairwise relatively prime trinomial moduli …

PFMBench: Protein Foundation Model Benchmark
Zhangyang Gao, Hao Wang, Cheng Tan, Chenrui Xu, Mengdi Liu, Bozhen Hu, Linlin Chao, Xiaoming Zhang, Stan Z. Li
https://arxiv.org/abs/2506.14796

PFMBench: Protein Foundation Model Benchmark
This study investigates the current landscape and future directions of protein foundation model research. While recent advancements have transformed protein science and engineering, the field lacks a comprehensive benchmark for fair evaluation and in-depth understanding. Since ESM-1B, numerous protein foundation models have emerged, each with unique datasets and methodologies. However, evaluations often focus on limited tasks tailored to specific models, hindering insights into broader generali…

All Roads Lead to Rome: Graph-Based Confidence Estimation for Large Language Model Reasoning
Caiqi Zhang, Chang Shu, Ehsan Shareghi, Nigel Collier
https://arxiv.org/abs/2509.12908

All Roads Lead to Rome: Graph-Based Confidence Estimation for Large Language Model Reasoning
Confidence estimation is essential for the reliable deployment of large language models (LLMs). Existing methods are primarily designed for factual QA tasks and often fail to generalize to reasoning tasks. To address this gap, we propose a set of training-free, graph-based confidence estimation methods tailored to reasoning tasks. Our approach models reasoning paths as directed graphs and estimates confidence by exploiting graph properties such as centrality, path convergence, and path weightin…

Space Cybersecurity Testbed: Fidelity Framework, Example Implementation, and Characterization
Jose Luis Castanon Remy, Caleb Chang, Ekzhin Ear, Shouhuai Xu
https://arxiv.org/abs/2507.11763

Space Cybersecurity Testbed: Fidelity Framework, Example Implementation, and Characterization
Cyber threats against space infrastructures, including satellites and systems on the ground, have not been adequately understood. Testbeds are important to deepen our understanding and validate space cybersecurity studies. The state of the art is that there are very few studies on building testbeds, and there are few characterizations of testbeds. In this paper, we propose a framework for characterizing the fidelity of space cybersecurity testbeds. The framework includes 7 attributes for charac…

"Europese Commissie raadt intern Signal aan met verdwijnende berichten"
https://tweakers.net/nieuws/238678/europese-commissie-raadt-intern-signal-aan-met-verdwijnende-berichten.html

Europese Commissie raadt intern Signal aan met verdwijnende berichten
De Europese Commissie raadt haar eigen mensen aan om Signal te gebruiken met verdwijnende berichten. Dat heeft Follow the Money achterhaald. Onder meer commissievoorzitter Ursula von der Leyen doet dat ook.

Replaced article(s) found for econ.TH. https://arxiv.org/list/econ.TH/new
[1/1]:
- Ambiguous Persuasion: An Ex-Ante Formulation
Xiaoyu Cheng
https://

Replaced article(s) found for math.ST. https://arxiv.org/list/math.ST/new
[1/1]:
- Eigen-convergence of Gaussian kernelized graph Laplacian by manifold heat interpolation
Xiuyuan Cheng, Nan Wu

A profile of Egune AI, a startup building LLMs for the Mongolian language, as it navigates geopolitics, a lack of resources, and the nascent local tech scene (Viola Zhou/Rest of World)
https://restofworld.org/2025/mongolia-egune-ai-llm/

The Mongolian startup defying Big Tech with its own LLM
Egune is one of several linguistically and culturally aware AI models built by smaller nations to reduce reliance on American and Chinese tech giants.