It is the subfield of computer science that focuses on creating systems capable of intelligent behavior, including problem solving, learning, adaptation, perception, and language understanding.
The 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…
Continue readingThis research evaluates the quality of text-to-speech (TTS) voices in delivering mindfulness-based therapies. It explores the potential of technology in enhancing these therapies, focusing on the user-perceived quality of TTS…
Continue readingThe article discusses a study on an AI-Assisted Provider Platform (A2P2) designed to help care providers deliver protocolized therapies in a more empathetic manner. The platform was tested with providers…
Continue readingPhysics-informed neural network (PINN) is a data-driven solver for differential equations, providing a unified framework to address both forward and inverse problems. However, the complexity of the objective function often…
Continue readingCrisisViT is a robust Vision Transformer for crisis image classification. The paper argues that in emergency situations, images from social media can provide valuable, real-time information. However, the volume of…
Continue readingThe article introduces the PHEME model series for efficient and conversational speech generation. Unlike existing models that require large neural components and extensive training, PHEME models are compact, high-performing, and…
Continue readingThe largest survey of its kind polled 2,778 AI researchers on their predictions for the future of AI. Participants estimated a 50% chance of AI systems achieving several milestones by…
Continue readingThe article discusses a method for understanding following relations in time series data. The authors formalize a concept of following motifs between two time series and present a framework to…
Continue readingThe Agent Framework for Shaping Preference and Personality (AFSPP) is introduced as a new approach to shape personality and preference in Large Language Models (LLMs). It explores the impact of…
Continue readingThe study focuses on the issue of vehicle routing with time windows, where vehicle plans need to be connected in sequences over a long time horizon. The researchers propose a…
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