2026 · Preprint; submitted to ICLR 2027
UNIVERSITY OF TORONTO · MASc
David Guo
Machine learning & human–AI interaction
I’m a MASc student in the Data-Driven Decision Making (D3M) Lab at the University of Toronto, supervised by Prof. Scott Sanner, working on machine learning for interactive AI systems.
My work spans conversational recommendation, user modeling, and memory for Agentic systems, combining empirical studies of interaction with building and evaluating systems.
Publications & Preprints
Findings of ACL 2026 · Accepted
Evaluating Scene-based In-Situ Item Labeling for Immersive Conversational Recommendation
ACM UMAP 2026 · Accepted
VOGUE: A Multimodal Dataset for Conversational Recommendation in Fashion
* Equal contribution
Current Research
An XR framework for interaction research grounded in persistent world state.
- AI assistants in AR/XR
- Memory and personalization
- Learning from visual context
Contact
UNIVERSITY EMAILdavidmy [dot] guo [at] mail [dot] utoronto [dot] ca
LOCATIONToronto, ON
CV & PROFILES