- 21.10.31 Factual Consistency Evaluation for Text Summarization via Counterfactual Estimation 【EMNLP2021】
- 21.10.29 Faithful or Extractive? On Mitigating the Faithfulness-Abstractiveness Trade-off in Abstractive Summarization
- 21.10.27 MiRANews: Dataset and Benchmarks for Multi-Resource-Assisted News Summarization 【EMNLP2021】
- 21.10.26 Improving Factual Consistency of Abstractive Summarization via Question Answering 【pending】
- 21.10.25 Language Model as an Annotator: Exploring DialoGPT for Dialogue Summarization
- 21.10.24 CTRLSUM: TOWARDS GENERIC CONTROLLABLE TEXT SUMMARIZATION
- 21.10.20 Training Dynamics for Text Summarization Models
- 21.10.15 GSum: A General Framework for Guided Neural Abstractive Summarization 【NAACL 2021】
- 21.10.10 VAETransformer进一步实验
- 21.10.3 CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive Summarization 【EMNLP2021】
- 21.10.1 Controllable Neural Dialogue Summarization with Personal Named Entity Planning 【EMNLP2021】