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The paper addresses the challenge of automatically parallelizing hotspots in mature software repositories using OpenMP, where loop safety and optimization.
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This paper presents a formal mechanism-design model for continuous participatory governance of deployed AI agents, focused on controlling AI through.
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This paper tackles the problem of grounding representation choice for web agents that interact with web pages using different observation modes—such as.
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RxnCLF addresses the challenge of reaction yield prediction where labeled data are limited and reaction space is combinatorially large and sparsely populated.
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Surv-IPTB addresses the challenge of estimating the Individual Probability of Treatment Benefit (IPTB) in survival analysis, where outcomes are censored.
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The paper addresses the challenge of identifying the earliest critical error responsible for a task failure in long-horizon trajectories generated by.
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This survey addresses the problem of how visual content owners can proactively protect their assets against unauthorized automated use once images enter.
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This paper addresses the challenge of developing efficient language models for Bengali, a resource-constrained language with limited computing capacity.
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This paper addresses critical limitations in current 3D vision-language-action (VLA) models for robotic manipulation, namely their heavy data.
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This paper addresses the limitation of existing Composed Image Retrieval (CIR) systems which operate only in a single-turn setting, unable to capture the.
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This paper addresses the challenges of AI-supported care planning, where multiple stakeholders such as clinicians, patients, and caregivers must.
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This paper addresses the core challenge of kinetic model discovery in chemical engineering, where accurate rate laws are essential but difficult to infer.
