Similar to LLMs, the development of vision language models is mainly driven by English datasets and models trained in English and Chinese language, whereas support for other languages, even those considered high-resource languages such as German, rem...
Large Arabic Resources For Sentiment Analysis (⭐ 119)
Deep learning models show remarkable results in automated skin lesion analysis. However, these models demand considerable amounts of data, while the availability of annotated skin lesion images is often limited. Data augmentation can expand the train...
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Large language models (LLMs) are being increasingly deployed as part of pipelines that repeatedly process or generate data of some sort. However, a common barrier to deployment are the frequent and often unpredictable errors that plague LLMs. Acknowl...
Lifecycle models for research data are often abstract and simple. This comes at the danger of oversimplifying the complex concepts of research data management. The analysis of 90 different lifecycle models lead to two approaches to assess the quality...
A growing challenge in research and industrial engineering applications is the need for repeated, systematic analysis of large-scale computational models, for example, patient-specific digital twins of diseased human organs: The analysis requires eff...
A major factor in the recent success of large language models is the use of enormous and ever-growing text datasets for unsupervised pre-training. However, naively training a model on all available data may not be optimal (or feasible), as the qualit...
Language models (LMs) increasingly drive real-world applications that require world knowledge. However, the internal processes through which models turn data into representations of knowledge and beliefs about the world, are poorly understood. Insigh...
On June 15, 2020, the official data protection impact assessment (DPIA) for the German Corona-Warn-App (CWA) was made publicly available. Shortly thereafter, the app was made available for download in the app stores. However, the first version of the...
Intrinsic image decomposition is a challenging, long-standing computer vision problem for which ground truth data is very difficult to acquire. We explore the use of synthetic data for training CNN-based intrinsic image decomposition models, then app...
In program analysis, shape analysis is a static code analysis technique that discovers and verifies properties of linked, dynamically allocated data structures
Large Language Models (LLMs) are increasingly used for cybersecurity threat analysis, but their deployment in security-sensitive environments raises trust and safety concerns. With over 21,000 vulnerabilities disclosed in 2025, manual analysis is inf...
Sentiment analysis can aid in understanding people's opinions and emotions on social issues. In multilingual communities sentiment analysis systems can be used to quickly identify social challenges in social media posts, enabling government departmen...
Buli language may refer to: Buli language (Ghana), a Gur language Buli language (Indonesia), a South Halmahera language Biyanda-Buli language, a Gbaya
Acquired language may refer to: Language acquisition, the process of acquiring language Second language, a language that is learnt after a native language
This paper reviews the main perspectives of language acquisition and language comprehension. In language acquisition, we have reviewed the different types of language acquisitions like first language acquisition, second language acquisition, sign lan...
Aspect-based Sentiment Analysis (ABSA) helps to explain customers' opinions towards products and services. In the past, ABSA models were discriminative, but more recently generative models have been used to generate aspects and polarities directly fr...
Big Data Analysis on Flight Data using Apache Pig and MapReduce programs and Oozie Workflow on Hadoop Framework. (⭐ 2)
A data-driven analysis of GLP-1 agonists (Ozempic, Wegovy, Rybelsus, Trulicity, Mounjaro, Zepbound) exploring their impact on healthcare costs, consumer behavior, and pharma markets using CMS, CDC, FDA, and company financial data. (⭐ 1)