Evolving Hybrid Quantum-Classical Architectures for Image Classification
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Morpheus: A Morphology-Aware Neural Tokenizer and Word Embedder for Turkish
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XGenAct: Geometry-Enhanced World Action Models through Cross-Task Generation
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WAMpy: Efficient Synthesis of Prolog Programs in Python
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Rethinking Epistemic Uncertainty in Node Classification through Information Growth
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Sentence-Level Context Sensitivity as a Training-Free Detector of Unsupported Content, Evaluated Against Trained Verifiers
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On the Limits of LLM Adaptability: Impact of Model-Internalized Priors on Annotation Task Performance
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When Does Synthetic Relational Data Teach Models to Use Relations? Tracing Predictive Structure from Pretraining Data to Model Behavior
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Mapping and Advancing the Scalability-Accuracy Frontier of Nonlinear Causal Discovery
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OptiSelect: How does the Optimizer Shape Data Curriculum?
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Neural Data Needs Semantic Tokenization: Behavioral Events as Boundaries of Session-Transferable Tokens
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HexVIO: Towards All-Day Stereo-Inertial Tracking Through Commodity DSPs
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