Found 11 document(s)
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Multi-step retrosynthesis requires recursively transforming a target molecule through successive reaction steps into purchasable building blocks, and recent work has begun to draw on large language model (LLM) reasoning ...
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Advances in Multimodal Large Language Models (MLLMs) have driven substantial progress in multimodal embeddings. Recent methods exploit generative capabilities by augmenting embedded inputs with self-generated reasoning t...
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Reviewing tissue-barrier impedance requires connecting spectral anomalies with resistance estimates and experimental context. We present an evidence-guided framework that coordinates numerical checks and traceable action...
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AI has made significant contributions to scientific discovery. Autonomous agents can now independently analyse complex problems, design experiments, write and execute code, analyse findings, and derive scientific conclus...
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Self-supervised learning has emerged as a powerful paradigm for Path Representation Learning (PRL) in road networks. PRL aims to learn informative representations of paths traversed by moving objects, such as vehicles, w...
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Looped Transformers offer a parameter-efficient approach to language modeling by repeatedly applying a shared backbone. Vanilla looped Transformers use each backbone output directly as the input to the next iteration. Th...
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This paper presents the different ways of romanization and divergent ideologies in the toponymy of the city of Canton (Guangzhou, China). The Portuguese named the city Cantão, which was transliterated as Canton in French...
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The present work deals with the inverse dynamics simulation of underactuated multibody systems. In particular, the study focuses on solving trajectory tracking control problems of differentially flat underactuated system...
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Direction-of-arrival (DOA) estimation with unfolded co-prime linear arrays has been investigated thanks to the large aperture, excellent performance, and full degrees-of-freedom (DOFs). Besides, it has been admitted that...