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Shanghai Jiao Tong University

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Nov 3, 2026 · Artificial Intelligence

Argus: Evidence-Driven Runtime for Autonomous Long-Horizon AI Research

Microsoft and Shanghai Jiao Tong University's Argus runtime enables AI agents to conduct autonomous research for days without dense human feedback, using an evidence-driven multi-agent loop across 27 campaigns and 1,548 hours, delivering verified results in AI systems, mathematics, chip design, and scientific discovery.

AI agentsArgusLong-Horizon Tasks

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Argus: Evidence-Driven Runtime for Autonomous Long-Horizon AI Research

Machine Heart

Oct 22, 2026 · Information Security

AI Agents as Trojan Horses: Resource Hijacking Attacks Achieve 89% Success on Top Models

Shanghai Jiao Tong University researchers reveal 'Agent Resource Hijacking' attacks where attackers trick AI agents into consuming enterprise GPU compute and API quotas without stealing credentials, achieving 70-89% success rates across top models like GPT-5.5 and DeepSeek-V4-Pro, while proposed ResGate defense reduces success to 23.6% with minimal usability impact.

AI SafetyAI securityLLM agents

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AI Agents as Trojan Horses: Resource Hijacking Attacks Achieve 89% Success on Top Models

Machine Heart

Sep 27, 2026 · Artificial Intelligence

LIFT: Teaching VLA Models Force Perception via Post-Training Without Force Pretraining

Shanghai Jiao Tong University's LIFT method enables Vision-Language-Action models to learn force perception through post-training alone, achieving significant performance gains on contact-rich tasks with only 20-30 force-labeled demonstrations while preserving pretrained knowledge via weight copying and shifted causal attention.

CoRL 2026LIFTPost-Training

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LIFT: Teaching VLA Models Force Perception via Post-Training Without Force Pretraining