FreshBrew: A Benchmark for Evaluating AI Agents on Java Code Migration
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Visual-Invariance-Augmented Feature Optimal Alignment for Transferable Adversarial Attacks against Closed-Source MLLMs
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Direct Regret Optimization in Bayesian Optimization
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Predicting kernel regression learning curves from only raw data statistics
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Neural Bayesian Filtering
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Cross-Modality Controlled Molecule Generation with Diffusion Language Model
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Tree Navigation Without LLM Summaries: A Matched-Cost Study of Hierarchical Retrieval for Long-Document QA
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EMODE: Dynamic Para-Semantic Experts for Emotion-Aware Speech Language Modeling
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HARL-A: An Extensible Benchmark Framework for Heterogeneous Multi-Agent Adversarial Reinforcement Learning in IsaacLab
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Metonymic Circuits for Abstract Concept Grounding in Vision Transformers
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Component and Dimension Sparsity in Transformer Refusal Mechanisms
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Verdicts Without Annotated Evidence: Rejection Sampling or Label-Only Post-Training for Evidence Recovery?
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