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Cloud Computing Review — A Decade of Research

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Cloud Computing Review — A Decade of Research

·8 min read·Smruti Rekha Swain

This paper presents a large-scale scientometric analysis of cloud computing research published over the last decade (2014-2023), using 12,638 articles sourced from the Web of Science Core database

researchcloud-computingscientometric-analysisresearch-trendsco-citation-network

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VaaWIT — Visual-Aware Adaptation of Large Language Models for Multilingual Web Image Translation

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VaaWIT — Visual-Aware Adaptation of Large Language Models for Multilingual Web Image Translation

·9 min read·Bo Li, Ronghao Chen, Ningyuan Deng et al.

This paper addresses the challenging problem of multilingual Web image translation, where text embedded in images on the web (e.g., social media posts or e-commerce product images) must be accurate…

researchmultimodal-translationlarge-language-modelsweb-image-translationvisual-language-fusion

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Are Frontier LLMs Ready for Cybersecurity? Evidence for Vertical Foundation Models from Dual-Mode Vulnerability Benchmarks

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Are Frontier LLMs Ready for Cybersecurity? Evidence for Vertical Foundation Models from Dual-Mode Vulnerability Benchmarks

·8 min read·Vivek Dahiya, Sunny Nehra, Vipul Dholariya et al.

This paper rigorously evaluates the readiness of leading general-purpose large language models (LLMs) for cybersecurity tasks using a dual-mode benchmark comprising white-box function-level vulnera…

researchcybersecurity-llmsvulnerability-detectionpenetration-testingagentic-reasoning

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Asking For An Old Friend — Diagnosing and Mitigating Temporal Failure Modes in LLM-based Statutory Question Answering

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Asking For An Old Friend — Diagnosing and Mitigating Temporal Failure Modes in LLM-based Statutory Question Answering

·9 min read·Max Prior, Andreas Schultz, Matthias Grabmair

This paper addresses key temporal failure modes in applying large language models (LLMs) to statutory legal question answering, namely post-cutoff staleness and recency bias

researchlegal-llmstemporal-robustnessretrieval-augmented-generationstatutory-question-answering

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Cogniscope — A Synthetic Longitudinal Benchmark and Browser-Based Evaluation Framework for Early-Risk Cognitive AI Systems

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Cogniscope — A Synthetic Longitudinal Benchmark and Browser-Based Evaluation Framework for Early-Risk Cognitive AI Systems

·9 min read·Mahfuza Farooque, Ananya Drishti, Mukhil Muruganantham Prakaash et al.

Cogniscope introduces a novel, open-source framework designed to support rigorous evaluation of early-risk cognitive AI systems through controlled synthetic longitudinal data and a real-world data …

researchsynthetic-benchmarklongitudinal-evaluationearly-risk-detectionbehavioral-telemetry

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Deep-Research Agents Can Be Poisoned via User-Generated Content

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Deep-Research Agents Can Be Poisoned via User-Generated Content

·9 min read·Tingwei Zhang, Harold Triedman, Vitaly Shmatikov

This paper identifies and demonstrates a new vulnerability in deep-research agents—AI systems that iteratively retrieve, synthesize, and cite user-generated web content such as Reddit or Wikipedia …

researchdeep-research-agentsretrieval-poisoninguser-generated-contentgenerative-engine-optimization

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Dissecting the Perseus-Pisces supercluster observed with CFHT-MegaCam — Exploring late-type galaxy shape alignments within the local cosmic web

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Dissecting the Perseus-Pisces supercluster observed with CFHT-MegaCam — Exploring late-type galaxy shape alignments within the local cosmic web

·7 min read·M. Mondelin, S. Codis, J. -C. Cuillandre et al.

This study investigates intrinsic alignments of galaxy shapes within the Perseus-Pisces supercluster (PPSC), a nearby large-scale structure, using deep r-band imaging from CFHT-MegaCam covering 367…

researchintrinsic-alignmentweak-lensing-systematicscosmic-webgalaxy-morphology

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