AllSERP: Exhaustive Per-Element Enrichment of the Versatile AdSERP Dataset

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Storage Is Not Memory: A Retrieval-Centered Architecture for Agent Recall

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Beyond Seeing Is Believing: On Crowdsourced Detection of Audiovisual Deepfakes

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Nonconvex Stochastic Bregman Proximal Gradient Method with Application to Deep Learning

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RecGPT-Mobile: On-Device Large Language Models for User Intent Understanding in Taobao Feed Recommendation

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Rethinking Convolutional Networks for Attribute-Aware Sequential Recommendation

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Beyond Static Best-of-N: Bayesian List-wise Alignment for LLM-based Recommendation

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DoGMaTiQ: Automated Generation of Question-and-Answer Nuggets for Report Evaluation

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One Pool, Two Caches: Adaptive HBM Partitioning for Accelerating Generative Recommender Serving

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Tailoring Scaffolding to Diagnostic Strategies: Theory-Informed LLM-Based Agents

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To Fuse or to Drop? Dual-Path Learning for Resolving Modality Conflicts in Multimodal Emotion Recognition

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Not All Scaffolds Are Equal: How Initiation Mode Determines EMME Effectiveness in Debugging

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RTMS: A Real-Time Multimodal Scaffolding System for Improving Debugging in Computing Education

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Patterns of Developer Adoption of LLM-Generated Code Refactoring Suggestions

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Optimizing Data Collection for Machine Learning

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Building AI Companions that Prioritise Learning over Performance

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OpenWatch: A Multimodal Benchmark for Hand Gesture Recognition on Smartwatches

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A meta-analysis of the effect of generative AI on productivity and learning in programming

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Gaze4HRI: Zero-shot Benchmarking Gaze Estimation Neural-Networks for Human-Robot Interaction

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Cognitive Twins: Investigating Personalized Thinking Model Building and Its Performance Enhancement with Human-in-the-Loop

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