Interactive perception (IP) enables robots to extract hidden information in their workspace and execute manipulation plans by physically interacting with object...

Providing scaffolding through educational chatbots built on Large Language Models (LLM) has potential risks and benefits that remain an open area of research. W...

The quality assessment of Artificial Intelligence (AI) systems is a fundamental challenge due to their inherently probabilistic nature. Standards such as ISO/IE...

Qualitative data analysis is labor-intensive, yet the privacy risks associated with commercial Large Language Models (LLMs) often preclude their use in sensitiv...

Real-world knowledge representation often requires capturing subjective, continuous attributes -- such as political positions -- that conflict with pairwise val...

We demonstrate the application of a quantum feature extraction method to enhance multi-class image classification for space applications. By harnessing the dyna...

In jurisdictions like India, where courts face an extensive backlog of cases, artificial intelligence offers transformative potential for legal judgment predict...

Despite the remarkable practical success of transformer-based language models, recent work has raised concerns about their ability to perform state tracking. In...

We describe a modern deep learning system that automatically identifies informative contextual examples (qu{contexts}) for first language vocabulary instruction...

Psychological corpora in NLP are collections of texts used to analyze human psychology, emotions, and mental health. These texts allow researchers to study psyc...

We present the first motion generation system for playtesting virtual reality (VR) games. Our player model generates VR headset and handheld controller movement...

Recent advances in deep learning, exemplified by Hyper-Connections (HC), have expanded the residual connection paradigm by introducing wider residual streams an...