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Evaluating large language models: A comprehensive survey
Large language models (LLMs) have demonstrated remarkable capabilities across a broad
spectrum of tasks. They have attracted significant attention and been deployed in numerous …
spectrum of tasks. They have attracted significant attention and been deployed in numerous …
Beyond discrimination: Generative AI applications and ethical challenges in forensic psychiatry
L Tortora - Frontiers in Psychiatry, 2024 - frontiersin.org
The advent and growing popularity of generative artificial intelligence (GenAI) holds the
potential to revolutionise AI applications in forensic psychiatry and criminal justice, which …
potential to revolutionise AI applications in forensic psychiatry and criminal justice, which …
Evaluating large language models in class-level code generation
Recently, many large language models (LLMs) have been proposed, showing advanced
proficiency in code generation. Meanwhile, many efforts have been dedicated to evaluating …
proficiency in code generation. Meanwhile, many efforts have been dedicated to evaluating …
Simple techniques to bypass GenAI text detectors: implications for inclusive education
This study investigates the efficacy of six major Generative AI (GenAI) text detectors when
confronted with machine-generated content modified to evade detection (n= 805). We …
confronted with machine-generated content modified to evade detection (n= 805). We …
Explainable fake news detection with large language model via defense among competing wisdom
Most fake news detection methods learn latent feature representations based on neural
networks, which makes them black boxes to classify a piece of news without giving any …
networks, which makes them black boxes to classify a piece of news without giving any …
GenAI detection tools, adversarial techniques and implications for inclusivity in higher education
This study investigates the efficacy of six major Generative AI (GenAI) text detectors when
confronted with machine-generated content that has been modified using techniques …
confronted with machine-generated content that has been modified using techniques …
Evaluating large language models in process mining: Capabilities, benchmarks, and evaluation strategies
Abstract Using Large Language Models (LLMs) for Process Mining (PM) tasks is becoming
increasingly essential, and initial approaches yield promising results. However, little …
increasingly essential, and initial approaches yield promising results. However, little …
Why do we need to employ exemplars in moral education? Insights from recent advances in research on artificial intelligence
H Han - Ethics & Behavior, 2024 - Taylor & Francis
In this paper, I examine why moral exemplars are useful and even necessary in moral
education despite several critiques. To support my point, I review recent AI research …
education despite several critiques. To support my point, I review recent AI research …
Leveraging large language models for preliminary security risk analysis: A mission-critical case study
Preliminary security risk analysis (PSRA) provides a quick approach to identify, evaluate,
and propose remediation to potential risks in specific scenarios. The extensive expertise …
and propose remediation to potential risks in specific scenarios. The extensive expertise …
Semantic communication: A survey of its theoretical development
In recent years, semantic communication has received significant attention from both
academia and industry, driven by the growing demands for ultra-low latency and high …
academia and industry, driven by the growing demands for ultra-low latency and high …