Segui
David Wan
Titolo
Citata da
Citata da
Anno
FactPEGASUS: Factuality-aware pre-training and fine-tuning for abstractive summarization
D Wan, M Bansal
arXiv preprint arXiv:2205.07830, 2022
442022
Extractive is not faithful: An investigation of broad unfaithfulness problems in extractive summarization
S Zhang, D Wan, M Bansal
arXiv preprint arXiv:2209.03549, 2022
232022
Faithfulness-aware decoding strategies for abstractive summarization
D Wan, M Liu, K McKeown, M Dreyer, M Bansal
arXiv preprint arXiv:2303.03278, 2023
162023
Incorporating terminology constraints in automatic post-editing
D Wan, C Kedzie, F Ladhak, M Carpuat, K McKeown
arXiv preprint arXiv:2010.09608, 2020
82020
Evaluating and improving factuality in multimodal abstractive summarization
D Wan, M Bansal
arXiv preprint arXiv:2211.02580, 2022
52022
Constrained regeneration for cross-lingual query-focused extractive summarization
E Turcan, D Wan, F Ladhak, P Galuščáková, S Sen, S Tchistiakova, W Xu, ...
Proceedings of the 29th International Conference on Computational …, 2022
32022
Segmenting subtitles for correcting asr segmentation errors
D Wan, C Kedzie, F Ladhak, E Turcan, P Galuščáková, E Zotkina, Z Jiang, ...
arXiv preprint arXiv:2104.07868, 2021
32021
Subtitles to Segmentation: Improving Low-Resource Speech-to-Text Translation Pipelines
D Wan, ZP Jiang, C Kedzie, E Turcan, P Bell, K McKeown
Proceedings of the workshop on Cross-Language Search and Summarization of …, 2020
32020
Histalign: Improving context dependency in language generation by aligning with history
D Wan, S Zhang, M Bansal
arXiv preprint arXiv:2305.04782, 2023
22023
Contrastive Region Guidance: Improving Grounding in Vision-Language Models without Training
D Wan, J Cho, E Stengel-Eskin, M Bansal
arXiv preprint arXiv:2403.02325, 2024
2024
System for Cross-Language Information Processing, Translation and Summarization (SCRIPTS)
K McKeown, J Hirschberg, S Muresan, R Eskander, F Ladhak, ...
Il sistema al momento non puň eseguire l'operazione. Riprova piů tardi.
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