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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System One Models for Wireless Decision-Making:Applications and Performance Evaluation
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Efficient Test-time Adaptation through Candidate Verification and Divergence Shifts
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