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This paper addresses the fundamental challenge of efficiently sampling molecular conformations at thermodynamic equilibrium, which is key for understanding macroscopic phenomena like protein folding
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This paper addresses the challenge of reliably authenticating insect species for edible insect production using near-infrared (NIR) spectroscopy under realistic industrial batch-to-batch variability
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This paper addresses the problem of detecting manipulative and deceptive betting advertisements on social media, which present significant societal risks including financial harm and mental health …
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This paper addresses the challenge of detecting indirect linguistic encoding (ILE) in social media posts, which users employ to evade moderation by camouflaging sensitive meanings
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This paper addresses the critical limitation of existing reinforcement learning (RL) methods for autonomous drone racing — poor zero-shot generalization (ZSG) to unseen racetracks
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Chai addresses the challenging problem of discovering cryptographic misuse vulnerabilities—security flaws arising from subtle implementation or specification ambiguities in widely used cryptographi…
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This paper introduces CHIA, an open-source framework designed to enable principled, scalable research into agentic AI-driven hardware/software co-design workflows
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This paper addresses the automated detection of threat versus solution framing at the sentence level in German-language climate change news articles, a key content distinction that shapes public pe…
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This paper addresses the challenge of training a single image generation model that unifies diverse capabilities—text-to-image (T2I) synthesis, local editing, and global editing—which are often con…
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This paper addresses the critical challenge of securing UAV swarm communications against eavesdropping, focusing on the widely used but unencrypted MAVLink protocol that underpins UAV telemetry exc…
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This work addresses the challenge of generating portable, high-quality job search queries from candidate profiles on industrial platforms like LinkedIn
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Evaluations via simulations on large real-world social graph datasets (Facebook, Pokec, VKontakte) demonstrate DKVE can detect MitM attacks with approximately 97% probability on strong-to-moderate …
