Search Results for author:
Found 5 papers, 1 papers with code
Synthetic Imitation Edit Feedback for Factual Alignment in Clinical Summarization
In this work, we propose a new pipeline using ChatGPT instead of human experts to generate high-quality feedback data for improving factual consistency in the clinical note summarization task.
TBIN: Modeling Long Textual Behavior Data for CTR Prediction
Click-through rate (CTR) prediction plays a pivotal role in the success of recommendations.
Prediction of solar wind speed by applying convolutional neural network to potential field source surface (PFSS) magnetograms
In this work, we construct a model based on convolutional neural network (CNN) and Potential Field Source Surface (PFSS) magnetograms, considering a solar wind source surface of $R_{\rm SS}=2. 5R_\odot$, aiming to predict the solar wind speed at the Lagrange 1 (L1) point of the Sun-Earth system.
Decision-Making Context Interaction Network for Click-Through Rate Prediction
Click-through rate (CTR) prediction is crucial in recommendation and online advertising systems.
Towards Productionizing Subjective Search Systems
Also, we found that the existing search algorithms do not meet the search quality standard required by production systems.
