· ai
[Paper] Scaling HuBERT for African Languages: From Base to Large and XL
Despite recent progress in multilingual speech processing, African languages remain under-represented in both research and deployed systems, particularly when i...
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[Paper] Agentic AI Framework for Smart Inventory Replenishment
In contemporary retail, the variety of products available (e.g. clothing, groceries, cosmetics, frozen goods) make it difficult to predict the demand, prevent s...
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[Paper] Towards Improving Interpretability of Language Model Generation through a Structured Knowledge Discovery Approach
Knowledge-enhanced text generation aims to enhance the quality of generated text by utilizing internal or external knowledge sources. While language models have...
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[Paper] Tackling a Challenging Corpus for Early Detection of Gambling Disorder: UNSL at MentalRiskES 2025
Gambling disorder is a complex behavioral addiction that is challenging to understand and address, with severe physical, psychological, and social consequences....
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[Paper] Every Token Counts: Generalizing 16M Ultra-Long Context in Large Language Models
This work explores the challenge of building ``Machines that Can Remember'', framing long-term memory as the problem of efficient ultra-long context modeling. W...
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[Paper] Toward Automatic Safe Driving Instruction: A Large-Scale Vision Language Model Approach
Large-scale Vision Language Models (LVLMs) exhibit advanced capabilities in tasks that require visual information, including object detection. These capabilitie...
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[Paper] Closing the Generalization Gap in Parameter-efficient Federated Edge Learning
Federated edge learning (FEEL) provides a promising foundation for edge artificial intelligence (AI) by enabling collaborative model training while preserving d...
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[Paper] AI for software engineering: from probable to provable
Vibe coding, the much-touted use of AI techniques for programming, faces two overwhelming obstacles: the difficulty of specifying goals ('prompt engineering' is...
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[Paper] Spectral Concentration at the Edge of Stability: Information Geometry of Kernel Associative Memory
High-capacity kernel Hopfield networks exhibit a 'Ridge of Optimization' characterized by extreme stability. While previously linked to 'Spectral Concentration,...
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[Paper] Intelligent Neural Networks: From Layered Architectures to Graph-Organized Intelligence
Biological neurons exhibit remarkable intelligence: they maintain internal states, communicate selectively with other neurons, and self-organize into complex gr...
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[Paper] Privacy-preserving fall detection at the edge using Sony IMX636 event-based vision sensor and Intel Loihi 2 neuromorphic processor
Fall detection for elderly care using non-invasive vision-based systems remains an important yet unsolved problem. Driven by strict privacy requirements, infere...
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[Paper] Prediction performance of random reservoirs with different topology for nonlinear dynamical systems with different number of degrees of freedom
Reservoir computing (RC) is a powerful framework for predicting nonlinear dynamical systems, yet the role of reservoir topology$-$particularly symmetry in conne...