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Large vision–language models (LVLMs) can describe driving scenes and support decisions [Li25], but they sometimes hallucinate objects, relations, or events that are not present [Liu24,Liu25]. In a
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they sometimes hallucinate objects, relations, or events that are not present [Liu24,Liu25]. In a safety-critical domain, reducing hallucinations and improving robustness and trustworthiness are essential
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, materials characterization and device testing. Extensive experience with clean room processes and testing of resonators is required. •Enjoy working in an international team. Solid track of communication
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evaluation platform that tracks and ranks state-of-the-art LLMs for vulnerability detection, conducting rigorous testing to ensure accurate assessment of model robustness against adversarial attacks. Is Your
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, DRX, XPS, etc.). Experience in Atomic Layer Deposition, mechanical, electrical and/or thermal characterizations of materials, is a plus. High-level scientific and technological track record related
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of materials, is a plus. High-level scientific and technological track record related to material chemistry and/or electroplating is a plus. Strong communication and interpersonal skills; The candidate should be