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Central Tendency Bias in Human Selection of AI Generated Design Variations

Central Tendency Bias in Human Selection of AI Generated Design Variations

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Study of Mixed-Integer Optimization Based on Graph-Based Decomposition for Cell-Free Networks

Study of Mixed-Integer Optimization Based on Graph-Based Decomposition for Cell-Free Networks

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SLBench: Evaluating How LLM Agents Follow Logical Relations in Skills

SLBench: Evaluating How LLM Agents Follow Logical Relations in Skills

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Correlation-Aware Contextual Bandits with Surrogate Rewards for LLM Routing

Correlation-Aware Contextual Bandits with Surrogate Rewards for LLM Routing

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C-GAP Class-Aware and Online Prompting Improves Vision-Language Models on Imbalanced Classes

C-GAP Class-Aware and Online Prompting Improves Vision-Language Models on Imbalanced Classes

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Living Inside the Black Box: Behavioral Probing and Adaptation in Mandatory Wearable Sensing

Living Inside the Black Box: Behavioral Probing and Adaptation in Mandatory Wearable Sensing

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Optimal Transport-based Semantic Alignment for LLM-based Audio-Visual Speech Recognition

Optimal Transport-based Semantic Alignment for LLM-based Audio-Visual Speech Recognition

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Sustainable Leadership Honeybee and Locust Approaches

Sustainable Leadership Honeybee and Locust Approaches

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RaMark: Radioactive Watermarking for Generated Tabular Data

RaMark: Radioactive Watermarking for Generated Tabular Data

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Benchmarking Large Language Models on Repairing Qiskit Programs using Bugs4Q

Benchmarking Large Language Models on Repairing Qiskit Programs using Bugs4Q

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Pareto-Optimal Scheduling in the Half-batch Multiserver-job Model

Pareto-Optimal Scheduling in the Half-batch Multiserver-job Model

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Model Agnostic Graph Prompt Learning for Crystal Property Prediction

Model Agnostic Graph Prompt Learning for Crystal Property Prediction

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Shadow-Based Noise Fingerprinting of Simulated Quantum Noise Models

Shadow-Based Noise Fingerprinting of Simulated Quantum Noise Models

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Improved Lower Bounds of the Time Complexity of Shellsort

Improved Lower Bounds of the Time Complexity of Shellsort

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StreamDQ Near-Memory Weight DeQuantization in Custom HBM for Scalable AI Inference Acceleration

StreamDQ Near-Memory Weight DeQuantization in Custom HBM for Scalable AI Inference Acceleration

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