Tracking Economic Sentiment: Advanced Time Series Models for Survey Responses
15 May 2025
GAR(1) models reveal trends in consumer inflation beliefs, showing how metric-space time series illuminate economic perceptions over time.
Numerical Experiments Confirm GAR(1) Model Power in Non-Euclidean Time Series
15 May 2025
Simulations show GAR(1) model estimators are consistent and powerful for time series in real, Wasserstein, and SPD matrix spaces.
Adventures in Metric Spaces: Defining Means Where None Exist
15 May 2025
Hadamard spaces provide structure for modeling time series of random objects; key parameters like the Fréchet mean are well-defined and identifiable here.
Fréchet Means, Concentration, and Serial Dependence in Non-Euclidean Time Series
15 May 2025
Presents a new autoregressive model for time series in Hadamard spaces, enabling estimation, testing, and inference for random objects beyond Euclidean data.
How to Improve Crowdsourced Labels for Dialogue Systems
9 Apr 2025
Explore supplementary materials supporting the main paper—Context Does Matter: Implications for Crowdsourced Evaluation Labels in Task-Oriented Dialogue Systems
How to Improve the Accuracy of Online Ratings for AI Chatbots and Virtual Assistants
9 Apr 2025
This study shows that minimal context and heuristic methods can boost crowdsourced label consistency for relevance and usefulness in TDS evaluations.
When Rating AI Chatbots, More Context Isn't Always Better
8 Apr 2025
Expanding context improves label consistency in TDS evaluations, but too much context can confuse annotators.
Can AI-Generated Context Improve the Quality of Crowdsourced Feedback?
8 Apr 2025
Heuristic-generated context boosts crowdsourced label quality and consistency, outperforming LLM-based methods for both relevance and usefulness evaluations.
The Surprising Effects of Minimal Dialogue Context on AI Judgment
8 Apr 2025
Increasing dialogue context boosts agreement on relevance ratings, but can cause inconsistency in usefulness judgments due to complex user feedback.