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Haoran Li
Haoran Li
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Title
Cited by
Cited by
Year
Emerging cross-lingual structure in pretrained language models
S Wu, A Conneau, H Li, L Zettlemoyer, V Stoyanov
ACL 2020, 2019
1452019
MTOP: A comprehensive multilingual task-oriented semantic parsing benchmark
H Li, A Arora, S Chen, A Gupta, S Gupta, Y Mehdad
EACL 2021, 2020
582020
Conversational Semantic Parsing
A Aghajanyan, J Maillard, A Shrivastava, K Diedrick, M Haeger, H Li, ...
EMNLP 2020, 2020
362020
Improving Zero and Few-Shot Abstractive Summarization with Intermediate Fine-tuning and Data Augmentation
AR Fabbri, S Han, H Li, H Li, M Ghazvininejad, S Joty, D Radev, ...
NAACL 2021, 2020
342020
Multilingual seq2seq training with similarity loss for cross-lingual document classification
K Yu, H Li, B Oguz
Proceedings of The Third Workshop on Representation Learning for NLP, 175-179, 2018
242018
ConvoSumm: Conversation Summarization Benchmark and Improved Abstractive Summarization with Argument Mining
AR Fabbri, F Rahman, I Rizvi, B Wang, H Li, Y Mehdad, D Radev
ACL 2021, 2021
222021
Confit: Toward faithful dialogue summarization with linguistically-informed contrastive fine-tuning
X Tang, A Nair, B Wang, B Wang, J Desai, A Wade, H Li, A Celikyilmaz, ...
arXiv preprint arXiv:2112.08713, 2021
132021
Syntax-augmented Multilingual BERT for Cross-lingual Transfer
WU Ahmad, H Li, KW Chang, Y Mehdad
ACL 2021, 2021
102021
General Purpose Text Embeddings from Pre-trained Language Models for Scalable Inference
J Du, M Ott, H Li, X Zhou, V Stoyanov
EMNLP findings 2020, 2020
52020
AnswerSumm: A Manually-Curated Dataset and Pipeline for Answer Summarization
AR Fabbri, X Wu, S Iyer, H Li, M Diab
arXiv preprint arXiv:2111.06474, 2021
32021
EASE: Extractive-Abstractive Summarization End-to-End using the Information Bottleneck Principle
H Li, A Einolghozati, S Iyer, B Paranjape, Y Mehdad, S Gupta, ...
Proceedings of the Third Workshop on New Frontiers in Summarization, 85-95, 2021
32021
Investigating crowdsourcing protocols for evaluating the factual consistency of summaries
X Tang, AR Fabbri, Z Mao, G Adams, B Wang, H Li, Y Mehdad, D Radev
arXiv preprint arXiv:2109.09195, 2021
32021
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