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Svarna: An Open Corpus Workbench for Modern Greek
Svarna is an open-source, web-based corpus workbench designed to unify and provide accessible search and analysis tools over modern Greek corpora.
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TERA: A Unified Taylor Model Enabled Reachability Analysis Framework
This paper presents TERA, a new Python-native open-source framework for reachability analysis of safety-critical dynamical systems using Taylor Models (TMs).
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The Rise and Fall of Google's Privacy Sandbox
This work presents the first large-scale, longitudinal, and consent-aware measurement study of Google's Privacy Sandbox deployment on the Web during the.
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Theoria: Rewrite-Acceptability Verification over Informal Reasoning States
Theoria addresses the critical problem of verifying AI system reasoning in informal, natural-language domains where formal proof assistants struggle and.
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WST, the Wide-field Spectroscopic Telescope: Mechanical Design and FE Analyses for the High Resolution Spectrograph
The Wide-field Spectroscopic Telescope (WST) is a planned 12-meter-class spectroscopic facility aiming to conduct large-scale surveys with a.
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A forgery attack on the Block.co blockchain-based digital credential certification system
This paper investigates a critical vulnerability in Block.co, a blockchain-based system for certifying digital credentials such as academic certificates.
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An Agentic AI Framework to Accelerate Scientific Discovery in Plant Phenotyping
This paper addresses a critical bottleneck in high-throughput plant phenotyping workflows: the gap between massive imaging data acquisition and slow.
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An overview of stray light findings and interpretation during on-sky commissioning of LSSTCam
The paper addresses the pervasive challenge of stray and scattered light contamination in wide-field astronomical telescopes by presenting an in-depth.
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AnyBokeh: Physics-Guided Any-to-Any Bokeh Editing with Optical Fingerprint Transfer
AnyBokeh addresses the challenging problem of post-capture depth-of-field (DoF) manipulation from a single image taken under arbitrary focus and aperture.
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Automated Background Swapping for Robustness against Spurious Backgrounds
Deep neural network classifiers often rely on spurious correlations embedded in image backgrounds, leading to poor generalization when those correlations.
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Bridging the Gap Between Latent and Explicit Reasoning with Looped Transformers
This paper addresses the efficiency-accuracy tradeoff in chain-of-thought (CoT) reasoning with large language models (LLMs).
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Clean Me If You Can: A Large Collection of Real-World Addresses for Data Cleaning Benchmarking
This paper addresses a critical gap in data cleaning research: the lack of large, realistic benchmark datasets with ground truth.