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This work addresses the relatively unexplored problem of simulating atomic nuclei on fault-tolerant quantum computers, extending beyond the well-studied.
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This paper addresses the challenge of generating semantically meaningful, executable concurrency tests for stateful Rust library APIs, which expose.
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This study rigorously examines the effects of generative AI (GenAI) availability—marked by ChatGPT's public release in late 2022—on student academic.
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GraphVid addresses the limitations of existing controllable image-to-video (I2V) generation methods, which often rely on low-level motion cues, trajectory.
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GS-Agent addresses the challenging task of generating dynamic, physically realistic 4D worlds from natural language input.
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This paper addresses a long-standing open problem in information theory and combinatorics: improving lower bounds for the Shannon capacity of odd cycles.
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MedGame addresses the challenge in medical education of transforming static clinical case reports into interactive, decision-centered learning.
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This study investigates the distribution and kinematics of neutral atomic hydrogen (H I) on megaparsec scales around the Hickson Compact Group 100 (HCG.
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This paper addresses a fundamental challenge in multimodal reasoning with vision-language models (VLMs), focusing on geometry problems that can be.
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OpenForgeRL addresses a critical gap in training advanced AI agents that operate through complex inference harnesses—such as Claude Code, Codex, and.
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This paper addresses the critical challenge of topological freezing in lattice QCD simulations, a problem that severely limits the efficiency of.
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This work tackles the fundamental performance bottleneck of transformer inference caused by extensive data movement between memory and processing units.
