PUMA: Learning a Mutation-Aware Vocabulary of Protein Units
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Context-Aware Error Mitigation Orchestration for Hybrid Quantum Reinforcement Learning on NISQ Systems
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LLM-Driven Multi-Agent Control for Skill-Based Smart Manufacturing
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Multi-Party Backchannel Prediction: a Diagnosis, a Benchmark, and a Ceiling
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Low-Budget Active Learning through Entropic Optimal Transport
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FedMIX-P: Mixing Local and Global Preconditioners for Federated Vision and Language Model Training
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Anti-Persona: Disrupting Unauthorized Identity Binding and Recognition in Personalized Vision--Language Models
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Auto-Formalizing Neuro-Symbolic Predictors
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Iterative Topic Taxonomy Induction with LLMs: A Case Study of Electoral Advertising
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Feature Selective Model Collapse in Diffusion Models: Total Replacement versus Fixed-Budget Training
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Completion Aware Guidance for World Action Models
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RASteer: Retain-Aware Activation Steering for Concept Erasure in Diffusion Models
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