Do Neural Networks Learn Structure-Preserving Maps? A Case Study in Latent-to-Hilbert Embeddings
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Attention Tax, Handoff Tax: A Stylised Model of When Multi-Agent LLM Systems Help
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Attention-Based Surface Representation Learning for Robot State Prediction and Open-Ended Surface Classification
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Diffusion Transformers are Provably Optimal In-context Generators
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RRM-GPT: A Framework and Vision for Radio Resource Management Foundation Models
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Reflections and Fragments: Securing LLMs Against Sequential Mosaic Attacks
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COPEX: Benchmarking LLM Robustness to Adversarial Context Across Model Context Protocol Layers
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Can LLM Agents Automate Reinforcement Learning for Text-to-Speech?
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Adaptive Operator Selection in Bilevel Large Neighborhood Search for Electric Autonomous Dial-a-Ride Problem under Uncertainty
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Compact set-valued deep ensembling in multi-class classification
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DP-ES: Differentially Private Evolution Strategies for Prompt Optimization
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Steering by Influence: Curvature Aware Data Weighting for Activation Steering
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