Tootfinder

"It's not a war between nations. It's a war between religions."
TravelingIsrael
https://youtu.be/qitKfYgwTuQ?si=MdnWdJmU-gliv7Ns

EvolMathEval: Towards Evolvable Benchmarks for Mathematical Reasoning via Evolutionary Testing
Shengbo Wang, Mingwei Liu, Zike Li, Anji Li, Yanlin Wang, Xin Peng, Zibin Zheng
https://arxiv.org/abs/2508.13003

EvolMathEval: Towards Evolvable Benchmarks for Mathematical Reasoning via Evolutionary Testing
The rapid advancement of LLMs poses a significant challenge to existing mathematical reasoning benchmarks. These benchmarks commonly suffer from issues such as score saturation, temporal decay, and data contamination. To address this challenge, this paper introduces EvolMathEval, an automated mathematical benchmark generation and evolution framework based on evolutionary testing. By dynamically generating unique evaluation instances ab initio, the framework fundamentally eliminates the risk of …

🔍 Mathematik am XLAB
Mathematik hautnah erleben! 🤓 Beim XLAB auf der Göttinger Nacht des Wissens kannst du spannende Experimente ausprobieren, Muster erkunden und mathematische Phänomene selbst erfahren.
⏲ Uhrzeit: 17:00-22:00 Uhr
🗓️ Datum: 21.06.2025
🧑‍🔬 Veranstalter: XLAB
📍 Veranstaltungsort: XLAB, Justus-von-Liebig-Weg 8
#ndwGoeCountdown

Can Large Models Teach Student Models to Solve Mathematical Problems Like Human Beings? A Reasoning Distillation Method via Multi-LoRA Interaction
Xinhe Li, Jiajun Liu, Peng Wang
https://arxiv.org/abs/2508.13037

Can Large Models Teach Student Models to Solve Mathematical Problems Like Human Beings? A Reasoning Distillation Method via Multi-LoRA Interaction
Recent studies have demonstrated that Large Language Models (LLMs) have strong mathematical reasoning abilities but rely on hundreds of billions of parameters. To tackle the challenge of poor reasoning in Small Language Models (SLMs), existing methods typically leverage LLMs to generate massive amounts of data for cramming training. In psychology, they are akin to System 1 thinking, which resolves reasoning problems rapidly based on experience and intuition. However, human learning also require…

Charlie Kirk: "I have several handwritten notes from President Trump. He's not a doodler." (Media Matters for America)
https://www.mediamatters.org/charlie-kirk/charlie-kirk-i-have-several-handwritten-notes-president-trump-hes-not-doodler
http://www.memeorandum.com/250718/p117#a250718p117

Banach modules, almost mathematics and condensed mathematics
Dimitri Dine
https://arxiv.org/abs/2508.11268 https://arxiv.org/pdf/2508.11268

Banach modules, almost mathematics and condensed mathematics
We study the relationship between almost mathematics, condensed mathematics and the categories of seminormed and Banach modules over a Banach ring $A$, with submetric (norm-decreasing) $A$-module homomorphisms for morphisms. If $A$ is a Banach ring with a norm-multiplicative topologically nilpotent unit $\varpi$ contained in the closed unit ball $A_{\leq1}$ such that $\varpi$ admits a compatible system of $p$-power roots $\varpi^{1/p^{n}}$ with \begin{equation*}\lVert\varpi^{1/p^{n}}\rVert=\lVe…

Collaborative Preferences for Learning Mathematics: A Scale Validation Study
Sang Hyun Kim, Tanya Evans
https://arxiv.org/abs/2508.12199 https://arxiv.org/…

Collaborative Preferences for Learning Mathematics: A Scale Validation Study
Collaboration within mathematics has been established as being effective in providing students with crucial opportunities to develop critical thinking, effective communication, and teamwork skills. By engaging in group problem-solving and shared learning experiences, students may gain deeper insights into mathematical concepts and learn to approach challenges from multiple perspectives. However, there remains a need for a reliable instrument to capture students' preferences for collaboration. T…

Motion2Motion: Cross-topology Motion Transfer with Sparse Correspondence
Ling-Hao Chen, Yuhong Zhang, Zixin Yin, Zhiyang Dou, Xin Chen, Jingbo Wang, Taku Komura, Lei Zhang
https://arxiv.org/abs/2508.13139

Motion2Motion: Cross-topology Motion Transfer with Sparse Correspondence
This work studies the challenge of transfer animations between characters whose skeletal topologies differ substantially. While many techniques have advanced retargeting techniques in decades, transfer motions across diverse topologies remains less-explored. The primary obstacle lies in the inherent topological inconsistency between source and target skeletons, which restricts the establishment of straightforward one-to-one bone correspondences. Besides, the current lack of large-scale paired m…

🔍 Vortrag: Die Mathematik des jungen Carl Friedrich #Gauß
Der Vortrag gibt einige Einblicke in die mathematischen Interessen und Resultate des jungen Gauß bis zu seiner Dissertation.
⏲ Uhrzeit: 19:00 & 20:00 Uhr
🗓️ Datum: 21.06.2025
⏱ Dauer: 30min
🧑‍🔬 Veranstalter: Institut für Numerische und Angewandte Mathematik
📍 Veranstaltungsort: ZHG004, ZHG, Platz…

Reliability, Embeddedness, and Agency: A Utility-Driven Mathematical Framework for Agent-Centric AI Adoption
Faruk Alpay, Taylan Alpay
https://arxiv.org/abs/2508.12896 https://

Reliability, Embeddedness, and Agency: A Utility-Driven Mathematical Framework for Agent-Centric AI Adoption
We formalize three design axioms for sustained adoption of agent-centric AI systems executing multi-step tasks: (A1) Reliability > Novelty; (A2) Embed > Destination; (A3) Agency > Chat. We model adoption as a sum of a decaying novelty term and a growing utility term and derive the phase conditions for troughs/overshoots with full proofs. We introduce: (i) an identifiability/confounding analysis for $(α,β,N_0,U_{\max})$ with delta-method gradients; (ii) a non-monotone comparator (logistic-with…