Tootfinder

Geometric Model Selection for Latent Space Network Models: Hypothesis Testing via Multidimensional Scaling and Resampling Techniques
Jieyun Wang, Anna L. Smith
https://arxiv.org/abs/2510.06136

Geometric Model Selection for Latent Space Network Models: Hypothesis Testing via Multidimensional Scaling and Resampling Techniques
Latent space models assume that network ties are more likely between nodes that are closer together in an underlying latent space. Euclidean space is a popular choice for the underlying geometry, but hyperbolic geometry can mimic more realistic patterns of ties in complex networks. To identify the underlying geometry, past research has applied non-Euclidean extensions of multidimensional scaling (MDS) to the observed geodesic distances: the shortest path lengths between nodes. The difference in…

VoltanaLLM: Feedback-Driven Frequency Control and State-Space Routing for Energy-Efficient LLM Serving
Jiahuan Yu (University of Illinois Urbana-Champaign), Aryan Taneja (University of Illinois Urbana-Champaign), Junfeng Lin (Tsinghua University), Minjia Zhang (University of Illinois Urbana-Champaign)
https://arxiv.org/abs/2509.04827

VoltanaLLM: Feedback-Driven Frequency Control and State-Space Routing for Energy-Efficient LLM Serving
Modern Large Language Model (LLM) serving systems increasingly support interactive applications, like real-time chat assistants, code generation tools, and agentic workflows. However, the soaring energy cost of LLM inference presents a growing challenge for sustainable and cost-effective deployment. This paper introduces VoltanaLLM, a system for SLO-aware, energy-efficient LLM serving, built from a control theory perspective. VoltanaLLM co-designs frequency scaling and request routing in emergi…

»Google Workspace: Gmail verschlüsselt jetzt auch Mails an externe Empfänger«
Dies ist nicht standartmässig aktiviert und somit werden es so gut wie kein mensch anwenden aber trotzdem glauben, dass sie anonym sicher kommunizieren. Dies nimmt mMn leider so gut wie kein Mensch ernst.
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Google Workspace: Gmail verschlüsselt jetzt auch Mails an externe Empfänger
Google erweitert die Ende-zu-Ende-Verschlüsselung für Workspace-Nutzer in Gmail. Ab sofort können Anwender der Client-Side-Encryption (CSE) ...

REMOTE: A Unified Multimodal Relation Extraction Framework with Multilevel Optimal Transport and Mixture-of-Experts
Xinkui Lin, Yongxiu Xu, Minghao Tang, Shilong Zhang, Hongbo Xu, Hao Xu, Yubin Wang
https://arxiv.org/abs/2509.04844

REMOTE: A Unified Multimodal Relation Extraction Framework with Multilevel Optimal Transport and Mixture-of-Experts
Multimodal relation extraction (MRE) is a crucial task in the fields of Knowledge Graph and Multimedia, playing a pivotal role in multimodal knowledge graph construction. However, existing methods are typically limited to extracting a single type of relational triplet, which restricts their ability to extract triplets beyond the specified types. Directly combining these methods fails to capture dynamic cross-modal interactions and introduces significant computational redundancy. Therefore, we p…

The Size Evolution and the Size-Mass Relation of Lyman-Alpha Emitters across $3 \lesssim z < 7$ as Observed by JWST
Qi Song, F. S. Liu, Jian Ren, Pinsong Zhao, Qifan Cui, Yubin Li, Hao Mo, Yuchong Luo, Guanghuan Wang, Nan Li, Hassen M. Yesuf, Weichen Wang, Xin Zhang, Xianmin Meng, Mingxiang Fu, Bingqing Zhang, Chenxiaoji Ling
https://ar…

The Size Evolution and the Size-Mass Relation of Lyman-Alpha Emitters across $3 \lesssim z < 7$ as Observed by JWST
Understanding the morphological structures of Lyman-alpha emitters (LAEs) is crucial for unveiling their formation pathways and the physical origins of Ly$α$ emission. However, the evolution of their sizes and structural scaling relations remains debated. In this study, we analyze a large sample of 876 spectroscopically confirmed LAEs at $3 \lesssim z < 7$, selected from the MUSE, VANDELS, and CANDELSz7 surveys in the GOODS-S, UDS, and COSMOS fields. Utilizing deep, high-resolution near-infrar…

67: The none-sensical viral phrase that Gen Alpha can’t stop saying
And now, its seems to be taking over OpenAI as well.
“GPT-6 will be renamed GPT-6-7, you’re welcome,”
OpenAI CEO Sam Altman posted to X on Friday.
Altman’s announcement comes just a couple of days after Dictionary.com named the slang 2025’s word of the year.
For those lucky enough to not be familiar with the term,
the Gen Alpha slang can be traced back to hip hop artist Skrilla’s late 20…

Did Sam Altman Just Figure out What 6-7 Means?
The OpenAI CEO announced it will rename GPT-6 to GPT-6-7 referencing the viral Gen Alpha slang. We don't know if he is kidding.

BroRL: Scaling Reinforcement Learning via Broadened Exploration
Jian Hu, Mingjie Liu, Ximing Lu, Fang Wu, Zaid Harchaoui, Shizhe Diao, Yejin Choi, Pavlo Molchanov, Jun Yang, Jan Kautz, Yi Dong
https://arxiv.org/abs/2510.01180

BroRL: Scaling Reinforcement Learning via Broadened Exploration
Reinforcement Learning with Verifiable Rewards (RLVR) has emerged as a key ingredient for unlocking complex reasoning capabilities in large language models. Recent work ProRL has shown promise in scaling RL by increasing the number of training steps. However, performance plateaus after thousands of steps, with clear diminishing returns from allocating more computation to additional training. In this work, we investigate a complementary paradigm for scaling RL, BroR-Lincreasing the number of rol…

Pendant ce temps, au #Bresil... On avance concrètement sur la contribution des plus riches ✨
https://www.

Le Brésil supprime l'impôt sur le revenu pour les classes moyennes et augmente en contrepartie la fiscalité...
Les députés brésiliens ont validé la mesure phare du président Lula visant à exonérer les classes moyennes d'impôt sur le revenu. Elle sera financée par une hausse du taux d'impôt des plus riches qui sera multiplié par quatre.

LatentEvolve: Self-Evolving Test-Time Scaling in Latent Space
Guibin Zhang, Fanci Meng, Guancheng Wan, Zherui Li, Kun Wang, Zhenfei Yin, Lei Bai, Shuicheng Yan
https://arxiv.org/abs/2509.24771

LatentEvolve: Self-Evolving Test-Time Scaling in Latent Space
Test-time Scaling (TTS) has been demonstrated to significantly enhance the reasoning capabilities of Large Language Models (LLMs) during the inference phase without altering model parameters. However, existing TTS methods are largely independent, implying that LLMs have not yet evolved to progressively learn how to scale more effectively. With the objective of evolving LLMs to learn ``how to scale test-time computation,'' we propose LatentEvolve, a self-evolving latent TTS framework inspired by…

Cowboys QB Dak Prescott Breaks Silence on Micah Parsons Trade https://heavy.com/sports/nfl/dallas-cowboys/dak-prescott-micah-parsons-trade-comment/?adt_ei=[email]