A practical approach to dialogue response generation in closed domains. - Yichao Lu; Phillip Keung; Shaonan Zhang; Jason Sun; Vikas Bhardwaj (CoRR, 2017)

A neural interlingua for multilingual machine translation. - Yichao Lu; Phillip Keung; Faisal Ladhak; Vikas Bhardwaj; Shaonan Zhang; Jason Sun (WMT, 2018)

Adversarial Learning with Contextual Embeddings for Zero-resource Cross-lingual Classification and NER. - Phillip Keung; Yichao Lu; Vikas Bhardwaj (EMNLP/IJCNLP (1), 2019)

Improving Non-autoregressive Neural Machine Translation with Monolingual Data. - Jiawei Zhou; Phillip Keung (ACL, 2020)

Don't Use English Dev: On the Zero-Shot Cross-Lingual Evaluation of Contextual Embeddings. - Phillip Keung; Yichao Lu; Julian Salazar; Vikas Bhardwaj (EMNLP (1), 2020)

The Multilingual Amazon Reviews Corpus. - Phillip Keung; Yichao Lu; György Szarvas; Noah A. Smith (EMNLP (1), 2020)

Attentional Speech Recognition Models Misbehave on Out-of-domain Utterances. - Phillip Keung; Wei Niu; Yichao Lu; Julian Salazar; Vikas Bhardwaj (CoRR, 2020)

On the Evaluation of Contextual Embeddings for Zero-Shot Cross-Lingual Transfer Learning. - Phillip Keung; Yichao Lu; Julian Salazar; Vikas Bhardwaj (CoRR, 2020)

Unsupervised Bitext Mining and Translation via Self-trained Contextual Embeddings. - Phillip Keung; Julian Salazar; Yichao Lu; Noah A. Smith (Trans. Assoc. Comput. Linguistics, 2020)

The Engage Corpus: A Social Media Dataset for Text-Based Recommender Systems. - Daniel Cheng; Kyle Yan; Phillip Keung; Noah A. Smith (LREC, 2022)

Domain Mismatch Doesn't Always Prevent Cross-lingual Transfer Learning. - Daniel Edmiston; Phillip Keung; Noah A. Smith (LREC, 2022)

NarrowBERT: Accelerating Masked Language Model Pretraining and Inference. - Haoxin Li; Phillip Keung; Daniel Cheng; Jungo Kasai; Noah A. Smith (ACL (2), 2023)

ACID: Abstractive, Content-Based IDs for Document Retrieval with Language Models. - Haoxin Li; Phillip Keung; Daniel Cheng; Jungo Kasai; Noah A. Smith (CoRR, 2023)