11 citations · 14 across the 3 of their papers we have counts for
4 papers
Revisiting text decomposition methods for NLI-based factuality scoring of summaries
John Glover, Federico Fancellu, Vasudevan Jagannathan +2
Scoring the factuality of a generated summary involves measuring the degree to which a target text contains factual information using the input document as support. Given the simil…
AdaFocal: Calibration-aware Adaptive Focal Loss
Arindam Ghosh, Thomas Schaaf, Matthew R. Gormley
Much recent work has been devoted to the problem of ensuring that a neural network's confidence scores match the true probability of being correct, i.e. the calibration problem. Of…
Leveraging Pretrained Models for Automatic Summarization of Doctor-Patient Conversations
Longxiang Zhang, Renato Negrinho, Arindam Ghosh +4
Fine-tuning pretrained models for automatically summarizing doctor-patient conversation transcripts presents many challenges: limited training data, significant domain shift, long…
Posterior Calibrated Training on Sentence Classification Tasks
Taehee Jung, Dongyeop Kang, Hua Cheng +2
Most classification models work by first predicting a posterior probability distribution over all classes and then selecting that class with the largest estimated probability. In m…