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Laboratoires et éditeurs, presse spécialisée, autorités de régulation : les articles récents réunis en un seul fil. Chaque article s'ouvre sur le site qui l'a publié.

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arXiv — NLP & LLM (cs.CL)Presse & veilleEN
Topic-Aware Multi-Task Mental Health Classification with Active Learning-Based Stepwise Relabeling for Social Media Conversations (s'ouvre sur arXiv — NLP & LLM (cs.CL), nouvel onglet)
arXiv:2611.09941v1 Announce Type: new Abstract: Mental health conditions affect millions of people worldwide, yet many cases go undetected until they reach a critical stage. Social media platforms like Reddit have become spaces where people openly share their experiences, but the…
10 nov. 2026
arXiv — NLP & LLM (cs.CL)Presse & veilleEN
MedToolFault and MedGuard: evaluating and improving clinical agent reliability (s'ouvre sur arXiv — NLP & LLM (cs.CL), nouvel onglet)
arXiv:2611.09942v1 Announce Type: new Abstract: Clinical agents must retrieve patient-specific evidence and correctly update records despite unreliable tool responses. We introduce MedToolFault, a fault-injection benchmark linking six tool-failure classes to answer correctness, r…
10 nov. 2026
arXiv — NLP & LLM (cs.CL)Presse & veilleEN
A Model Organism for Studying Unverbalized Evaluation Awareness (s'ouvre sur arXiv — NLP & LLM (cs.CL), nouvel onglet)
arXiv:2611.09945v1 Announce Type: new Abstract: Large language models can recognize when they are being evaluated and change their behavior accordingly, undermining the reliability of safety benchmarks. Evaluation awareness (EA) is usually measured by having an LLM judge scan rea…
10 nov. 2026
arXiv — NLP & LLM (cs.CL)Presse & veilleEN
CulturalCrosswords: A Multilingual Benchmark comprised of Answer Constraints and Grid Completion (s'ouvre sur arXiv — NLP & LLM (cs.CL), nouvel onglet)
arXiv:2611.10044v1 Announce Type: new Abstract: When several answers fit a riddle, exact-match scoring can penalise a valid response. CulturalCrosswords tests how answer constraints affect large language models (LLMs) solving cultural riddles, whose solutions draw on knowledge sp…
10 nov. 2026
arXiv — Machine Learning (cs.LG)Presse & veilleEN
Process then Retrieve: Investigating the Origins of the Modality Gap in Vision-Language Models (s'ouvre sur arXiv — Machine Learning (cs.LG), nouvel onglet)
arXiv:2611.09897v1 Announce Type: new Abstract: Understanding the origins of the modality gap in vision language models remains a significant challenge. This work investigates whether differences in information density between modality specific tokens at the embedding layer contr…
10 nov. 2026
arXiv — Machine Learning (cs.LG)Presse & veilleEN
MAGE: Towards Generalizable Multi-timescale EEG Representations (s'ouvre sur arXiv — Machine Learning (cs.LG), nouvel onglet)
arXiv:2611.09928v1 Announce Type: new Abstract: Electroencephalography (EEG) data plays an important role in understanding human brain activity, with various major applications. While current approaches, which largely build on EEG foundation models, have demonstrated strong perfo…
10 nov. 2026
arXiv — Machine Learning (cs.LG)Presse & veilleEN
Causal Discovery Bench: Can LLMs Autonomously Conduct Effective Experiments? (s'ouvre sur arXiv — Machine Learning (cs.LG), nouvel onglet)
arXiv:2611.09934v1 Announce Type: new Abstract: As large language model (LLM) agents get actively adopted for autonomous research, they must not only reason over existing evidence, but also design informative experiments, allocate resources, analyze sequential observations, and d…
10 nov. 2026
arXiv — Machine Learning (cs.LG)Presse & veilleEN
Fresh Enough to Decide: Age of Intelligence for Cost-Aware Model Synchronization in Dynamic IoT Systems (s'ouvre sur arXiv — Machine Learning (cs.LG), nouvel onglet)
arXiv:2611.09935v1 Announce Type: new Abstract: Resource-constrained IoT devices cache learned models for real-time decisions, but frequent updates incur substantial bandwidth, energy, and service overhead. Because decision-relevant model differences need not grow with elapsed ti…
10 nov. 2026
arXiv — Machine Learning (cs.LG)Presse & veilleEN
Topological Deep Learning Challenge 2026: Bridging the Gap (s'ouvre sur arXiv — Machine Learning (cs.LG), nouvel onglet)
arXiv:2611.10046v1 Announce Type: new Abstract: This paper describes the 2026 edition of the Topological Deep Learning Challenge: Bridging the Gap, hosted at the second Topology, Algebra, and Geometry in Data Science (TAG-DS) Conference. Where previous editions grew the modelling…
10 nov. 2026
arXiv — Machine Learning (cs.LG)Presse & veilleEN
Selected-Risk Calibration for Feasibility at Returned Decisions (s'ouvre sur arXiv — Machine Learning (cs.LG), nouvel onglet)
arXiv:2611.10050v1 Announce Type: new Abstract: When an optimization problem uses a surrogate constraint, a decision that is feasible for the surrogate need not be feasible for the true constraint. We propose Selected-Risk Calibration (SRC), a framework that calibrates a learned …
10 nov. 2026
arXiv — Machine Learning (cs.LG)Presse & veilleEN
All roads lead to Markov kernel networks: A representation theorem for discretization-stable learning (s'ouvre sur arXiv — Machine Learning (cs.LG), nouvel onglet)
arXiv:2611.10051v1 Announce Type: new Abstract: Operator learning seeks to approximate function-to-function maps in a way that remains stable when the input discretization changes, a property sometimes called "discretization invariance". We consider a quantitative refinement of t…
10 nov. 2026
arXiv — Machine Learning (cs.LG)Presse & veilleEN
fNIRSAtlas: A Large-Scale Benchmark for Functional Near-Infrared Spectroscopy Classification (s'ouvre sur arXiv — Machine Learning (cs.LG), nouvel onglet)
arXiv:2611.10082v1 Announce Type: new Abstract: Functional near-infrared spectroscopy (fNIRS) is a promising modality for brain-computer interfaces and cognitive state decoding, but progress in machine learning for fNIRS has been limited by small, isolated datasets and inconsiste…
10 nov. 2026