1 citations · 2 across the 6 of their papers we have counts for
6 papers
Evaluating the Effects of Prompt Perturbation on Bias and Hallucination in Large Language Models
Mamehgol Yousefi, Ahmad Shahi, Mos Sharifi +3
Large language models (LLMs) have shown remarkable capabilities in various natural language processing tasks, leading to their widespread deployment as intelligent assistants in de…
Self++: Co-Determined Agency for Human--AI Symbiosis in Extended Reality
Thammathip Piumsomboon
Self++ is a design blueprint for human-AI symbiosis in extended reality (XR) that preserves human authorship while still benefiting from increasingly capable AI agents. Because XR…
Investigating AI in Peer Support via Multi-Module System-Driven Embodied Conversational Agents
Ruoyu Wen, Xiaoli Wu, Kunal Gupta +5
Young people's mental well-being is a global concern, with peer support playing a key role in daily emotional regulation. Conversational agents are increasingly viewed as promising…
An Exploratory Study on AI-driven Visualisation Techniques on Decision Making in Extended Reality
Ze Dong, Binyang Han, Jingjing Zhang +4
The integration of extended reality (XR) with artificial intelligence (AI) introduces a new paradigm for user interaction, enabling AI to perceive user intent, stimulate the senses…
Self++: Merging Human and AI for Co-Determined XR Living in the Metaverse
Thammathip Piumsomboon
This position paper introduces Self++, a novel nine-level framework for co-determined living in the Metaverse, grounded in Self-Determination Theory. Self++ prioritises human flour…
Large Language Models for Automatic Detection of Sensitive Topics
Ruoyu Wen, Stephanie Elena Crowe, Kunal Gupta +6
Sensitive information detection is crucial in content moderation to maintain safe online communities. Assisting in this traditionally manual process could relieve human moderators…