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09/26/2022
News Summarization and Evaluation in the Era of GPT-3
The recent success of zero- and few-shot prompting with models like GPT-...
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05/25/2022
Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors
The propensity of abstractive summarization systems to make factual erro...
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05/19/2022
SNaC: Coherence Error Detection for Narrative Summarization
Progress in summarizing long texts is inhibited by the lack of appropria...
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10/15/2021
Training Dynamics for Text Summarization Models
Pre-trained language models (e.g. BART) have shown impressive results wh...
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10/08/2021
HydraSum – Disentangling Stylistic Features in Text Summarization using Multi-Decoder Models
Existing abstractive summarization models lack explicit control mechanis...
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04/09/2021
Annotating and Modeling Fine-grained Factuality in Summarization
Recent pre-trained abstractive summarization systems have started to ach...
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10/12/2020
Evaluating Factuality in Generation with Dependency-level Entailment
Despite significant progress in text generation models, a serious limita...
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05/05/2020
Neural Syntactic Preordering for Controlled Paraphrase Generation
Paraphrasing natural language sentences is a multifaceted process: it mi...
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06/19/2019
