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Found 5 papers, 2 papers with code
Decomposition and Interleaving for Variance Reduction of Post-click Metrics
The proposed method involves (1) the decomposition of the post-click metric measurement of a ranking into a click model estimation and a post-click metric measurement of each item in the ranking, and (2) interleaving of multiple rankings to produce a single ranking that preferentially exposes items possessing a high population variance.
Theoretical Analysis on the Efficiency of Interleaved Comparisons
This study presents a theoretical analysis on the efficiency of interleaving, an efficient online evaluation method for rankings.
The Effect of News Article Quality on Ad Consumption
We conducted a service log analysis and showed that sessions with high-quality news article exposure had more ad consumption than those with low-quality news article exposure.
Table Caption Generation in Scholarly Documents Leveraging Pre-trained Language Models
The contributions of this paper are: (1) discussion on the challenges in table captioning for scholarly documents; (2) development of a dataset DocBank-TB, which is publicly available; and (3) comparison of caption generation methods for scholarly documents with different strategies to retrieve relevant sentences from the paper body.
Beyond Narrative Description: Generating Poetry from Images by Multi-Adversarial Training
Extensive experiments are conducted with 8K images, among which 1. 5K image are randomly picked for evaluation.
