The article discusses the limitations of Large Language Model (LLM) powered chatbots and introduces a new system, ExploreLLM. This system aims to reduce the cognitive load on users by structuring…
Continue readingThe article presents a comprehensive dataset, Navigating News Narratives: A Media Bias Analysis Dataset, aimed at detecting and analyzing bias in news narratives. The dataset encompasses a broad spectrum of…
Continue readingThe paper presents the Japanese Tort-case Dataset (JTD), a novel tool for predicting legal judgments in Japanese tort cases. The dataset features two tasks: tort prediction and rationale extraction. The…
Continue readingThis paper presents a new dataset that assists in the information extraction process in Evidence-Based Medicine (EBM) using AI. This dataset includes explanatory arguments for correct and incorrect answers to…
Continue readingThe paper ‘The Efficiency Spectrum of Large Language Models: An Algorithmic Survey’ provides a comprehensive review of algorithmic advancements aimed to enhance the efficiency of Large Language Models (LLMs). It…
Continue readingThe study discusses the potential harms posed by AI-generated texts, especially from factoid, unfair, and toxic content. The authors propose FFT, a new benchmark with 2116 instances, for evaluating the…
Continue readingThe research article proposes a solution to integrate Visual Semantic Navigation (VSN) models into real robots. The authors have released a ROS-based framework for VSN, ROS4VSN, which can be used…
Continue readingThe paper explores a scenario where a side-channel attack is used to break the black-box property of embedded artificial intelligence, specifically deep neural networks (DNNs). It presents an architecture-agnostic attack…
Continue readingThe paper conducts an in-depth exploration of Web 3.0, focusing on blockchain, artificial intelligence, and edge computing. The authors summarize the internet evolution and provide an overview of these three…
Continue readingThe paper presents a study on improving the security of Internet of Things (IoT) devices using artificial intelligence (AI) and reinforcement learning. It specifically focuses on the use of attack…
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