Search Results for author:
Found 6 papers, 0 papers with code
Interpretable User Satisfaction Estimation for Conversational Systems with Large Language Models
Accurate and interpretable user satisfaction estimation (USE) is critical for understanding, evaluating, and continuously improving conversational systems.
Learning Causal Effects on Hypergraphs
Hypergraphs provide an effective abstraction for modeling multi-way group interactions among nodes, where each hyperedge can connect any number of nodes.
Learning to Represent Human Motives for Goal-directed Web Browsing
Then we incorporate the resulting representations for enhancing the experiences of common activities people perform on the web.
Data Leverage: A Framework for Empowering the Public in its Relationship with Technology Companies
Many powerful computing technologies rely on implicit and explicit data contributions from the public.
Fairness
Computers and Society
Towards Better Driver Safety: Empowering Personal Navigation Technologies with Road Safety Awareness
Recent research has found that navigation systems usually assume that all roads are equally safe, directing drivers to dangerous routes, which led to catastrophic consequences.
Human-Computer Interaction
A Deeper Investigation of the Importance of Wikipedia Links to the Success of Search Engines
A growing body of work has highlighted the important role that Wikipedia's volunteer-created content plays in helping search engines achieve their core goal of addressing the information needs of millions of people.
