5 papers
Share No More Than the Request Requires: Federated Disclosure for Perspective-Aware AI
Sourena Khanzadeh, Daniel Platnick, Marjan Alirezaie +1
Modern AI systems bring societal risks such as mass surveillance, extreme concentrations of power, and loss of user autonomy---calling into question a model where third-parties col…
Situation Graph Prediction for User Perspective Modeling
Jisung Shin, Daniel Platnick, Marjan Alirezaie +1
Perspective-aware AI requires modeling evolving internal states---goals, emotions, contexts---not merely preferences. Progress is limited by a data bottleneck: digital footprints a…
Structured Personalization: Modeling Constraints as Matroids for Data-Minimal LLM Agents
Daniel Platnick, Marjan Alirezaie, Hossein Rahnama
Personalizing Large Language Model (LLM) agents requires conditioning them on user-specific data, creating a critical trade-off between task utility and data disclosure. While the…
ID-RAG: Identity Retrieval-Augmented Generation for Long-Horizon Persona Coherence in Generative Agents
Daniel Platnick, Mohamed E. Bengueddache, Marjan Alirezaie +3
Generative agents powered by language models are increasingly deployed for long-horizon tasks. However, as long-term memory context grows over time, they struggle to maintain coher…
Perspective-Aware AI in Extended Reality
Daniel Platnick, Matti Gruener, Marjan Alirezaie +3
AI-enhanced Extended Reality (XR) aims to deliver adaptive, immersive experiences-yet current systems fall short due to shallow user modeling and limited cognitive context. We intr…