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Cybersécurité

Microsoft working on Defender patch for ShieldBreak zero-day

Microsoft is working on a security patch for the "ShieldBreak" zero-day vulnerability disclosed last week by security researcher "Nightmare Eclipse" and now tracked as CVE-2026-69414. [...]

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Cybersécurité

Suspected China-Nexus Actor Exploits VMware vCenter Flaw, Deploys Babuk-Derived Ransomware

Cybersecurity researchers have attributed the exploitation of a newly patched security flaw in Broadcom VMware vCenter to a suspected China-nexus advanced persistent threat (APT). The attacks involve the exploitation of CVE-2026-59310 (CVSS score: 9.8), a severe directory-traversal vulnerability in the VMware vCenter server that could be weaponized by a malicious actor to…

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Intelligence Artificielle

GRPO Beyond English: A Large-Scale Study of GRPO in Non-English and Multilingual Settings

arXiv:2608.13698v1 Announce Type: new Abstract: Reinforcement Learning with Verifiable Rewards (RLVR), often optimized with Group Relative Policy Optimization (GRPO), has become a central recipe for improving the reasoning capabilities of pretrained language models but current studies remain heavily English-centric. We conduct a large-scale empirical study of multilingual and…

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Intelligence Artificielle

Measuring Fairness in Large Audio Language Models via Semantic-Aware Bias Estimation

arXiv:2608.13624v1 Announce Type: new Abstract: Large Audio Language Models (LALMs) have seen increasing use for audio understanding tasks such as speech recognition and audio question answering, raising concerns about fairness across demographic subgroups. Fairness evaluation in spoken-input settings is challenging due to confounding factors, including semantic variation in…

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Intelligence Artificielle

IterCOMP: Reasoning-aware Adaptive Prompt Compression for Multi-hop Question Answering

arXiv:2608.13588v1 Announce Type: new Abstract: Multi-hop question answering requires complex reasoning across multiple evidence segments, which often overwhelms retrieval-augmented generation systems with lengthy and noisy contexts, thereby undermining both efficiency and accuracy. While existing prompt compression methods attempt to address this issue, they are typically…

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Intelligence Artificielle

Jais 2: A Family of Arabic-Centric Open Large Language Models

arXiv:2608.13580v1 Announce Type: new Abstract: Jais 2 is a family of Arabic-centric large language models developed jointly by MBZUAI, Cerebras, and Inception, designed to advance Arabic-centric language modeling, with strong performance across the Arabic and culturally grounded benchmarks evaluated in this report. The family includes, to our knowledge, the largest open…

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