2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CL2023
What are the Desired Characteristics of Calibration Sets? Identifying Correlates on Long Form Scientific Summarization
Griffin Adams, Bichlien H Nguyen, Jake Smith +7
Summarization models often generate text that is poorly calibrated to quality metrics because they are trained to maximize the likelihood of a single reference (MLE). To address th…
cs.SI2022★ 2 cited
Graph Neural Networks with Motif-aware for Tenuous Subgraph Finding
Heli sun, Miaomiao Sun, Liang He +1
Tenuous subgraph finding aims to detect a subgraph with few social interactions and weak relationships among nodes. Despite significant efforts have been made on this task, they ar…
cs.CL2021
Learning Syntactic Dense Embedding with Correlation Graph for Automatic Readability Assessment
Xinying Qiu, Yuan Chen, Hanwu Chen +3
Deep learning models for automatic readability assessment generally discard linguistic features traditionally used in machine learning models for the task. We propose to incorporat…