Robust Evidential Learning Through Latent Consistency
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New papers, breakthroughs and academic AI research
A Taxonomy of Programming Languages for Code Generation
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Verbal tics in frontier language models: A critical review of current releases, research evidence, and public discussion
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Domain-Adapted Small Language Models for Reliable Clinical Triage
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Reusing Past Samples in Proximal Policy Optimization: When and How Does It Help?
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Why Does Train-Validation Separation Emerge? Update-Pressure Density Dynamics in Pretrained Backbones
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Least-time Gradient Flow
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VIDA: A Dataset for Visually Dependent Ambiguity in Multimodal Machine Translation
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A Hybrid Approach to Malware Detection: Integrating Few-Shot Model-Agnostic Meta-Learning with Autoencoders
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ROWBench: Do Video Models Render What the Program Specifies?
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On the Interpretability of Whisper Encodings Using Sparse Autoencoders
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Adaptive Steering and Remasking for Safe Generation in Diffusion Language Models
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