Tootfinder

Dans les grandes écoles, des élèves ingénieurs contestent la place des entreprises
https://www.lemonde.fr/campus/article/2025/09/25/dans-les-grandes-ecoles-des-eleves-ingenieurs-contestent-…

Dans les grandes écoles, des élèves ingénieurs contestent la place des entreprises
De grandes entreprises tirent parti de l’enseignement supérieur pour diffuser des idées servant leurs intérêts, selon un collectif d’étudiants qui décrit un phénomène d’« emprise ». Une accusation récusée par les directions des grandes écoles d’ingénieurs, le 24 septembre.

Every Subtlety Counts: Fine-grained Person Independence Micro-Action Recognition via Distributionally Robust Optimization
Feng-Qi Cui, Jinyang Huang, Anyang Tong, Ziyu Jia, Jie Zhang, Zhi Liu, Dan Guo, Jianwei Lu, Meng Wang
https://arxiv.org/abs/2509.21261

Every Subtlety Counts: Fine-grained Person Independence Micro-Action Recognition via Distributionally Robust Optimization
Micro-action Recognition is vital for psychological assessment and human-computer interaction. However, existing methods often fail in real-world scenarios because inter-person variability causes the same action to manifest differently, hindering robust generalization. To address this, we propose the Person Independence Universal Micro-action Recognition Framework, which integrates Distributionally Robust Optimization principles to learn person-agnostic representations. Our framework contains t…

Query-Centric Graph Retrieval Augmented Generation
Yaxiong Wu, Jianyuan Bo, Yongyue Zhang, Sheng Liang, Yong Liu
https://arxiv.org/abs/2509.21237 https://a…

Query-Centric Graph Retrieval Augmented Generation
Graph-based retrieval-augmented generation (RAG) enriches large language models (LLMs) with external knowledge for long-context understanding and multi-hop reasoning, but existing methods face a granularity dilemma: fine-grained entity-level graphs incur high token costs and lose context, while coarse document-level graphs fail to capture nuanced relations. We introduce QCG-RAG, a query-centric graph RAG framework that enables query-granular indexing and multi-hop chunk retrieval. Our query-cen…

SLAM-Free Visual Navigation with Hierarchical Vision-Language Perception and Coarse-to-Fine Semantic Topological Planning
Guoyang Zhao, Yudong Li, Weiqing Qi, Kai Zhang, Bonan Liu, Kai Chen, Haoang Li, Jun Ma
https://arxiv.org/abs/2509.20739

SLAM-Free Visual Navigation with Hierarchical Vision-Language Perception and Coarse-to-Fine Semantic Topological Planning
Conventional SLAM pipelines for legged robot navigation are fragile under rapid motion, calibration demands, and sensor drift, while offering limited semantic reasoning for task-driven exploration. To deal with these issues, we propose a vision-only, SLAM-free navigation framework that replaces dense geometry with semantic reasoning and lightweight topological representations. A hierarchical vision-language perception module fuses scene-level context with object-level cues for robust semantic i…

Identifying Group Anchors in Real-World Group Interactions Under Label Scarcity
Fanchen Bu, Geon Lee, Minyoung Choe, Kijung Shin
https://arxiv.org/abs/2509.20762 https://…

Identifying Group Anchors in Real-World Group Interactions Under Label Scarcity
Group interactions occur in various real-world contexts, e.g., co-authorship, email communication, and online Q&A. In each group, there is often a particularly significant member, around whom the group is formed. Examples include the first or last author of a paper, the sender of an email, and the questioner in a Q&A session. In this work, we discuss the existence of such individuals in real-world group interactions. We call such individuals group anchors and study the problem of identifying th…

RESOURCE> Three new publications from the BuddhistRoad World
https://ift.tt/cR0ynvU
Mining the Logs: Sources on Blue Humor URL …
via Input 4 RELCFP https://ift.tt/qU…

With #openalex being mature enough, I have finally completed #degoogling my website 🥳
https://

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RePro: Leveraging Large Language Models for Semi-Automated Reproduction of Networking Research Results
Yining Jiang, Wenyun Xu, Qingyu Song, Yuling Lin, Xuanhao Liu, Xiaoqiang Zheng, Qiang Su, Lizhao You, Lu Tang, Wangjian Feng, Linghe Kong, Qiao Xiang, Jiwu Shu
https://arxiv.org/abs/2509.21074

RePro: Leveraging Large Language Models for Semi-Automated Reproduction of Networking Research Results
Reproducing networking research is a critical but challenging task due to the scarcity of open-source code. While Large Language Models (LLMs) can automate code generation, current approaches lack the generalizability required for the diverse networking field. To address this, we propose RePro, a semi-automated reproduction framework that leverages advanced prompt engineering to reproduce network systems from their research papers. RePro combines few-shot in-context learning with Structured and…

Un rezagado de la temporada 2025: «Cuentas pendientes» del español Bunbury.
Es increíble pensar que estuvo retirado y ya ha sacado al menos 2 discos desde eso y viene otro en camino.
https://album.link/s/0Ib4iTp8nEVgKyXamZgw1o

Al menos las noticias locales son buenas a veces:
«“En estos tiempos en que todo queda librado al mercado, tener un Estado local presente y ejercer la democracia en un sentido amplio, que implica participar de las decisiones sobre cómo queremos vivir, son condiciones que tenemos que valorar”, remarcó Di Pace. “Somos un gran bosque nativo y un pueblo en el corazón de ese monte que necesita políticas públicas que ordenen esa convivencia”.»
https://www.launionregional.com.ar/con-p-de-participacion/