BENCHMARKING HOOK AND BAIT URDU NEWS DATASET FOR DOMAIN-AGNOSTIC AND MULTILINGUAL FAKE NEWS DETECTION USING LARGE LANGUAGE MODELS

Benchmarking Hook and Bait Urdu news dataset for domain-agnostic and multilingual fake news detection using large language models

Abstract Fake News here (FN) prevalence on Online Social Networks (OSNs) and online websites is a worldwide issue.The previous studies on Fake News Detection (FND) have focused on rich-resource languages with limited relevance to users other than native speakers.Despite the progressing multilingual approaches, FND in low-resource languages remains

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YOLO performance analysis for real-time detection of soybean pests

In this work, we evaluated the You Only Look Once (YOLO) architecture for real-time detection of soybean pests.We collected images of the soybean plantation in different days, locations and weather conditions, between the phenological stages R1 to R6, which have a high occurrence of insect pests in il barone wine soybean fields.We employed a 5-fold

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