The study investigates the performance of GPT-4 in healthcare applications. A unique prompting technique was used to evaluate the model’s confidence score before and after posing questions from the United…
Continue readingThe article discusses the role of large language models (LLMs) in chemistry, focusing on tasks such as drug discovery and material science. Despite the remarkable capabilities of LLMs in natural…
Continue readingThe paper presents a new innovative approach to Multiple-criteria Decision Analysis (MCDA) in cybersecurity by integrating the Analytic Hierarchy Process (AHP) and Generative Pre-trained Transformer 4 (GPT-4). The study focuses…
Continue readingThis academic paper focuses on the problem of secret collusion among generative AI agents. It formalizes the issue using concepts from AI and security literature, discussing the potential for steganographic…
Continue readingThis research uses multimodal large language models (MLLMs) to enhance art appreciation education. The study introduces LLaVA-Docent, a model developed using MLLMs that aims to improve access and engagement in…
Continue readingThe research paper presents a new methodology for causal inference that integrates large language models (LLM) into statistical causal discovery (SCD). This is achieved through statistical causal prompting (SCP) for…
Continue readingThis academic article explores whether smaller, compact Large Language Models (LLMs) can serve as cost-efficient alternatives to larger LLMs for meeting summarization in real-world industrial settings. The authors conducted several…
Continue readingThe paper introduces Meta-Prompting, a scaffolding technique designed to enhance the functionality of language models. This approach transforms a single Language Model into a multi-faceted conductor, capable of managing and…
Continue readingThe study, conducted by researchers from MIT and other institutions, explores the benefits of using Large Language Models (LLMs) like GPT-4 to enhance patient comprehension of clinical notes. Clinical notes…
Continue readingThe paper investigates the role of large language models (LLMs) in evaluating tutors’ performance when dealing with students’ math errors. The study analyzes 50 real-life tutoring dialogues and finds that…
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