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This paper addresses a critical gap in recommender system robustness analysis by shifting focus from static attack metrics to the dynamic penetration of.
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This paper addresses a fundamental and persistent problem that limits coherence in solid-state quantum devices, particularly superconducting circuits: the.
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This paper tackles the critical problem of distribution shift in medical image segmentation, a key barrier to reliable clinical deployment of AI.
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This paper addresses the problem that fine-tuning large language models (LLMs) on domain-specific data, even innocuous data, can degrade their safety.
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This paper addresses the challenge of simulating faithful multi-party political coalition formation using large language models (LLMs).
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This paper investigates whether popular generative AI assistants with web search or browsing capabilities respect website owner restrictions articulated.
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This paper addresses the challenge of scalable, dynamic entanglement distribution for multi-user and multi-protocol quantum networks over.
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This paper addresses the major computational bottleneck in applying the widely used DisPerSE topological filament finder to large cosmological simulations.
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This paper addresses the challenge of explaining optimisation algorithm outputs used in industrial process control, specifically for High Pressure.
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FirmPilot addresses the fragile and brittle nature of IoT firmware rehosting pipelines that aim to run firmware images in emulated environments for.
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This paper presents a large-scale, systematic audit of political neutrality comparing Grokipedia, an encyclopedia generated entirely by the Grok LLM.
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This paper addresses the problem of fixed tokenizers in pre-trained large language models (LLMs), which allocate vocabulary based on the corpus.
