Towards optimizing human-centric objectives in ai-assisted decision-making with offline reinforcement learning
Imagine if AI decision-support tools not only complemented our ability to make accurate
decisions, but also improved our skills, boosted collaboration, and elevated the joy we …
decisions, but also improved our skills, boosted collaboration, and elevated the joy we …
" Ghost of the past": identifying and resolving privacy leakage from LLM's memory through proactive user interaction
Memories, encompassing past inputs in context window and retrieval-augmented
generation (RAG), frequently surface during human-LLM interactions, yet users are often …
generation (RAG), frequently surface during human-LLM interactions, yet users are often …
Adanonymizer: Interactively Navigating and Balancing the Duality of Privacy and Output Performance in Human-LLM Interaction
Current Large Language Models (LLMs) cannot support users to precisely balance privacy
protection and output performance during individual consultations. We introduce …
protection and output performance during individual consultations. We introduce …
Personalized Reality: Challenges of Responsible Ubiquitous Personalization
The expanding capabilities of Mixed Reality and Ubiquitous Computing technologies enable
personalization to be increasingly integrated with physical reality in all areas of people's …
personalization to be increasingly integrated with physical reality in all areas of people's …