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The paper addresses a core challenge in automated software engineering: constructing complete programs from scratch using language models rather than.
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This paper addresses the challenge of detecting Sybil bots on the Ethereum blockchain—automated accounts mimicking legitimate users to exploit airdrops or.
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This paper addresses the classical computational bottleneck in Topological Data Analysis (TDA) for extracting high-dimensional topological features from.
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SeasonStereo addresses the challenge of dense stereo matching for multi-date (diachronic) satellite imagery, where seasonal and illumination differences.
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SKY-Piano addresses a critical gap in music information retrieval (MIR) research by providing a multimodal piano performance dataset with real measured.
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This paper addresses the challenge of accurately estimating the states of nonlinear dynamical systems where the underlying state distributions become.
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This paper addresses the challenge of detecting AI-generated images (AIGI) by improving multimodal large language models (MLLMs) with stronger visual.
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This paper addresses the challenge of reconstructing metric camera poses and calibration from unconstrained, long monocular videos, which current.
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This paper tackles the emerging challenge of detecting AI-driven web browsing agents that operate via browser automation frameworks like Playwright.
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AuthentiCity addresses the challenge of integrating heterogeneous urban data sources—authoritative CityGML, crowd-sourced OpenStreetMap (OSM).
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This paper addresses the problem of building highly parameter-efficient multilingual dense retrieval models that maintain competitive retrieval quality at.
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BG-REAL introduces a public benchmark specialized for evaluating background manipulation detection and localization in images, addressing a gap in.
