الباحثون

Cong Chen

المنشورات 3

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PerturBot: Breaking Shortcut Priors in Vision-Language-Action Models with Perturbative Training

Mingyu Liu, Chonghao Sima, Tianjian Feng وآخرون · 2026

A vision--language--action (VLA) policy can complete complex tasks while ignoring the evidence that should determine its actions. An object held near the wrist camera can displace the instructed target. Language and action show the same pattern: a familiar noun can trigger the operation it was paired with in training e …

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MLCommons Jailbreak Benchmark v1.0

Carsten Maple, Cagatay Yucel, Isaac Holeman وآخرون · 2026

Modern AI systems are designed to refuse hazardous requests. A jailbreak is a prompt crafted to bypass those safeguards and elicit outputs that the system would normally refuse to provide. The MLCommons Jailbreak Benchmark v1.0 provides an end-to-end methodology for evaluating the robustness of large language models to …

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SV2V-RSim: A Comprehensive Benchmark for Self-Selective V2V Cooperative Perception with Near-Realistic Data

Yulu Wu, Chao Wei, Jujun Cheng وآخرون · 2026

Vehicle-to-Vehicle (V2V) cooperative perception enhances autonomous driving by enabling vehicles to share information beyond their direct line of sight. However, existing V2V datasets are limited by a small number of participating agents, static collaborator selection strategies, and a significant domain gap between si …

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