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Medicine is inherently multimodal, requiring clinicians to synthesize information across diverse data streams. Yet th...
Decision-making is posing an increasingly formidable challenge to investors because of the growing number of alternat...
We present an interpretable network-based framework for representing idiomatic and figurative meaning across eight ty...
Pre-demolition assessment, the regulated audit process at the heart of urban mining, is an information process in whi...
The proliferation of agentic AI systems across enterprise and public-sector contexts has outpaced the capacity of gen...
Precision industrial contact manipulation requires reliable robot policies under pose perturbations and contact-force...
Enhancing the reasoning capabilities of large language model (LLM) agents requires effective orchestration of diverse...
We present our submission to the QANTA 2026 shared challenge at the ICML 2026 Workshop on Efficient Multimodal Questi...
Reliable autonomous driving requires full-scene perception that couples foreground objects with dense semantic layout...
Quantum information theory (QIT) characterizes the capabilities and fundamental limits of quantum information process...
Financial anomaly detection suffers from extreme class imbalance, causing traditional single-objective algorithms to ...
Concept-based explainable artificial intelligence (AI) can make model reasoning more human-understandable, but concep...