HiER-BLS: A Hierarchy-Guided and Error-Correcting Robust Incremental Broad Learning System
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New papers, breakthroughs and academic AI research
CktFormalizer: Autoformalization of Natural Language into Circuit Representations
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Language Models Without a Trainable Input Embedding Table: Learning from Fixed Minimal Binary Token Codes
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S2PD: Serial-to-Parallel Diffusion for Physically and Logically Consistent Video Generation
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Image-Based Breast Implant Detection for Mammography Dataset Curation and Near-Real-Time Deployment: Comparing Foundation Models and Task-Specific Convolutional Models
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Usefulness of Quantile-Aware Diffusion Modeling for Highly Imbalanced Tabular Data
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Parallelism or Concession? Concurrency-Aware Procurement Negotiation for Agentic Commerce
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MercerFlow: Flow Matching in a Kernel-Induced Latent Space for Probabilistic Forecasting
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Beyond the Good, the Bad, and the Ugly: Colormap Assessment through Data-Aware Perceptual Metric
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Beyond In-Distribution Preservation: Recovering Generalization in Quantized VLAs via Vulnerability-Oriented Tuning
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SUAVE: Unified Video-Action Models via Masked Diffusion
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OGAM: Connecting Systematic Testing to Runtime Assurance through Object-Grounded Attention Monitoring for VLA Policies
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