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2020 – today
- 2023
[c13]Hiroaki Hayashi, Wojciech Kryscinski, Bryan McCann, Nazneen Rajani, Caiming Xiong:
What's New? Summarizing Contributions in Scientific Literature. EACL 2023: 1019-1031- 2022
- [c12]Junxian He
, Wojciech Kryscinski, Bryan McCann, Nazneen Rajani, Caiming Xiong:
CTRLsum: Towards Generic Controllable Text Summarization. EMNLP 2022: 5879-5915 - 2021
- [j1]Alexander R. Fabbri, Wojciech Kryscinski, Bryan McCann, Caiming Xiong, Richard Socher, Dragomir R. Radev:
SummEval: Re-evaluating Summarization Evaluation. Trans. Assoc. Comput. Linguistics 9: 391-409 (2021) - [c11]Tianxing He, Bryan McCann, Caiming Xiong, Ehsan Hosseini-Asl:
Joint Energy-based Model Training for Better Calibrated Natural Language Understanding Models. EACL 2021: 1754-1761 - [c10]Gustavo Aguilar, Bryan McCann, Tong Niu, Nazneen Rajani, Nitish Shirish Keskar, Thamar Solorio:
Char2Subword: Extending the Subword Embedding Space Using Robust Character Compositionality. EMNLP (Findings) 2021: 1640-1651 - [c9]Ben Krause, Akhilesh Deepak Gotmare, Bryan McCann, Nitish Shirish Keskar, Shafiq R. Joty, Richard Socher, Nazneen Fatema Rajani:
GeDi: Generative Discriminator Guided Sequence Generation. EMNLP (Findings) 2021: 4929-4952 - [i18]Tianxing He, Bryan McCann, Caiming Xiong, Ehsan Hosseini-Asl:
Joint Energy-based Model Training for Better Calibrated Natural Language Understanding Models. CoRR abs/2101.06829 (2021) - 2020
- [c8]Tianlu Wang, Xi Victoria Lin, Nazneen Fatema Rajani, Bryan McCann, Vicente Ordonez, Caiming Xiong:
Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation. ACL 2020: 5443-5453 - [c7]Nitish Shirish Keskar, Bryan McCann, Caiming Xiong, Richard Socher:
The Thieves on Sesame Street are Polyglots - Extracting Multilingual Models from Monolingual APIs. EMNLP (1) 2020: 6203-6207 - [c6]Wojciech Kryscinski, Bryan McCann, Caiming Xiong, Richard Socher:
Evaluating the Factual Consistency of Abstractive Text Summarization. EMNLP (1) 2020: 9332-9346 - [c5]Ehsan Hosseini-Asl, Bryan McCann, Chien-Sheng Wu, Semih Yavuz, Richard Socher:
A Simple Language Model for Task-Oriented Dialogue. NeurIPS 2020 - [i17]Ali Madani, Bryan McCann, Nikhil Naik, Nitish Shirish Keskar, Namrata Anand, Raphael R. Eguchi, Po-Ssu Huang, Richard Socher:
ProGen: Language Modeling for Protein Generation. CoRR abs/2004.03497 (2020) - [i16]Ehsan Hosseini-Asl, Bryan McCann, Chien-Sheng Wu, Semih Yavuz, Richard Socher:
A Simple Language Model for Task-Oriented Dialogue. CoRR abs/2005.00796 (2020) - [i15]Tianlu Wang, Xi Victoria Lin, Nazneen Fatema Rajani, Bryan McCann, Vicente Ordonez, Caiming Xiong:
Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation. CoRR abs/2005.00965 (2020) - [i14]Alexander R. Fabbri, Wojciech Kryscinski, Bryan McCann, Caiming Xiong, Richard Socher, Dragomir R. Radev:
SummEval: Re-evaluating Summarization Evaluation. CoRR abs/2007.12626 (2020) - [i13]Ben Krause, Akhilesh Deepak Gotmare, Bryan McCann, Nitish Shirish Keskar, Shafiq R. Joty, Richard Socher, Nazneen Fatema Rajani:
GeDi: Generative Discriminator Guided Sequence Generation. CoRR abs/2009.06367 (2020) - [i12]Gustavo Aguilar, Bryan McCann, Tong Niu, Nazneen Fatema Rajani, Nitish Shirish Keskar, Thamar Solorio:
Char2Subword: Extending the Subword Embedding Space from Pre-trained Models Using Robust Character Compositionality. CoRR abs/2010.12730 (2020) - [i11]Hiroaki Hayashi, Wojciech Kryscinski, Bryan McCann, Nazneen Fatema Rajani, Caiming Xiong:
What's New? Summarizing Contributions in Scientific Literature. CoRR abs/2011.03161 (2020) - [i10]Junxian He, Wojciech Kryscinski, Bryan McCann, Nazneen Fatema Rajani, Caiming Xiong:
CTRLsum: Towards Generic Controllable Text Summarization. CoRR abs/2012.04281 (2020)
2010 – 2019
- 2019
- [c4]Nazneen Fatema Rajani, Bryan McCann, Caiming Xiong, Richard Socher:
Explain Yourself! Leveraging Language Models for Commonsense Reasoning. ACL (1) 2019: 4932-4942 - [c3]Jasdeep Singh, Bryan McCann, Richard Socher, Caiming Xiong:
BERT is Not an Interlingua and the Bias of Tokenization. DeepLo@EMNLP-IJCNLP 2019: 47-55 - [c2]Wojciech Kryscinski, Nitish Shirish Keskar, Bryan McCann, Caiming Xiong, Richard Socher:
Neural Text Summarization: A Critical Evaluation. EMNLP/IJCNLP (1) 2019: 540-551 - [i9]Nitish Shirish Keskar, Bryan McCann, Caiming Xiong, Richard Socher:
Unifying Question Answering and Text Classification via Span Extraction. CoRR abs/1904.09286 (2019) - [i8]Jasdeep Singh, Bryan McCann, Nitish Shirish Keskar, Caiming Xiong, Richard Socher:
XLDA: Cross-Lingual Data Augmentation for Natural Language Inference and Question Answering. CoRR abs/1905.11471 (2019) - [i7]Nazneen Fatema Rajani, Bryan McCann, Caiming Xiong, Richard Socher:
Explain Yourself! Leveraging Language Models for Commonsense Reasoning. CoRR abs/1906.02361 (2019) - [i6]Wojciech Kryscinski, Nitish Shirish Keskar, Bryan McCann, Caiming Xiong, Richard Socher:
Neural Text Summarization: A Critical Evaluation. CoRR abs/1908.08960 (2019) - [i5]Nitish Shirish Keskar, Bryan McCann, Lav R. Varshney, Caiming Xiong, Richard Socher:
CTRL: A Conditional Transformer Language Model for Controllable Generation. CoRR abs/1909.05858 (2019) - [i4]Wojciech Kryscinski, Bryan McCann, Caiming Xiong, Richard Socher:
Evaluating the Factual Consistency of Abstractive Text Summarization. CoRR abs/1910.12840 (2019) - 2018
- [i3]Bryan McCann, Nitish Shirish Keskar, Caiming Xiong, Richard Socher:
The Natural Language Decathlon: Multitask Learning as Question Answering. CoRR abs/1806.08730 (2018) - 2017
- [c1]Bryan McCann, James Bradbury, Caiming Xiong, Richard Socher:
Learned in Translation: Contextualized Word Vectors. NIPS 2017: 6294-6305 - [i2]Bryan McCann, James Bradbury, Caiming Xiong, Richard Socher:
Learned in Translation: Contextualized Word Vectors. CoRR abs/1708.00107 (2017) - [i1]Stephen Merity, Bryan McCann, Richard Socher:
Revisiting Activation Regularization for Language RNNs. CoRR abs/1708.01009 (2017)
Coauthor Index
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