Abstract: Narcissistic Personality Disorder (NPD) is considered one of the three malevolent personality traits comprising the ‘Dark Triad’ alongside Machiavellianism and Psychopathy. Recent advances ...
Abstract: Encrypted traffic classification plays a critical role in network security and management. Currently, mining deep patterns from side-channel contents and plaintext fields through neural ...
ABSTRACT: The Hodge conjecture states that the Hodge group of Hodge classes is equal to the algebraic group generated by algebraic subvarieties on a Hodge manifold. To prove the conjecture, we ...
Classification of gas wells is an important part of optimizing development strategies and increasing the recovery. The original classification standard of gas wells in the Sulige gas field has weak ...
Deep Learning Model for Natural Language to Assess Effectiveness of Patients With Non–Muscle Invasive Bladder Cancer Receiving Intravesical Bacillus Calmette-Guérin Therapy Accurate identification of ...
Data scientists today face a perfect storm: an explosion of inconsistent, unstructured, multimodal data scattered across silos – and mounting pressure to turn it into accessible, AI-ready insights.
Having spent the last two years building generative AI (GenAI) products for finance, I've noticed that AI teams often struggle to filter useful feedback from users to improve AI responses.
Natural language processing (NLP) continues to evolve with new methods like in-context learning (ICL), which offers innovative ways to enhance large language models (LLMs). ICL involves conditioning ...
This paper investigates the application of Natural Language Processing (NLP) in AI interaction design for virtual experiences. It analyzes the impact of various interaction methods on user experience, ...
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