Raphael Shu

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 31

Top Topics

Machine Translation

Top Venues

Publications

Qingyang Wu, James Gung, Raphael Shu, Yi Zhang
DiactTOD: Learning Generalizable Latent Dialogue Acts for Controllable Task-Oriented Dialogue Systems. SIGDIAL (2023)
James Gung, Raphael Shu, Emily Moeng, Wesley Rose, Salvatore Romeo, Yassine Benajiba, Arshit Gupta, Saab Mansour, Yi Zhang
Intent Induction from Conversations for Task-Oriented Dialogue Track at DSTC 11. CoRR (2023)
Shamik Roy, Raphael Shu, Nikolaos Pappas, Elman Mansimov, Yi Zhang, Saab Mansour, Dan Roth
Conversation Style Transfer using Few-Shot Learning. CoRR (2023)
Shamik Roy, Raphael Shu, Nikolaos Pappas, Elman Mansimov, Yi Zhang, Saab Mansour, Dan Roth
Conversation Style Transfer using Few-Shot Learning. IJCNLP (1) (2023)
Qingyang Wu, James Gung, Raphael Shu, Yi Zhang
DiactTOD: Learning Generalizable Latent Dialogue Acts for Controllable Task-Oriented Dialogue Systems. CoRR (2023)
Sam Davidson, Salvatore Romeo, Raphael Shu, James Gung, Arshit Gupta, Saab Mansour, Yi Zhang
User Simulation with Large Language Models for Evaluating Task-Oriented Dialogue. CoRR (2023)
Mujeen Sung, James Gung, Elman Mansimov, Nikolaos Pappas, Raphael Shu, Salvatore Romeo, Yi Zhang, Vittorio Castelli
Pre-training Intent-Aware Encoders for Zero- and Few-Shot Intent Classification. CoRR (2023)
Mujeen Sung, James Gung, Elman Mansimov, Nikolaos Pappas, Raphael Shu, Salvatore Romeo, Yi Zhang, Vittorio Castelli
Pre-training Intent-Aware Encoders for Zero- and Few-Shot Intent Classification. EMNLP (2023)
Raphael Shu, Elman Mansimov, Tamer Alkhouli, Nikolaos Pappas, Salvatore Romeo, Arshit Gupta, Saab Mansour, Yi Zhang, Dan Roth
Dialog2API: Task-Oriented Dialogue with API Description and Example Programs. CoRR (2022)
Woojung Kim, Keondo Park, Kihyuk Sohn, Raphael Shu, Hyung-Sin Kim
Federated Semi-Supervised Learning with Prototypical Networks. CoRR (2022)
Rui Yang, Raphael Shu, Hideki Nakayama
Improving Noised Gradient Penalty with Synchronized Activation Function for Generative Adversarial Networks. IEICE Trans. Inf. Syst. (9) (2022)
Raphael Shu, Kang Min Yoo, Jung-Woo Ha
Reward Optimization for Neural Machine Translation with Learned Metrics. CoRR (2021)
Hong Chen, Raphael Shu, Hiroya Takamura, Hideki Nakayama
GraphPlan: Story Generation by Planning with Event Graph. INLG (2021)
Hong Chen, Raphael Shu, Hiroya Takamura, Hideki Nakayama
GraphPlan: Story Generation by Planning with Event Graph. CoRR (2021)
Jason Lee, Raphael Shu, Kyunghyun Cho
Iterative Refinement in the Continuous Space for Non-Autoregressive Neural Machine Translation. CoRR (2020)
Raphael Shu, Jason Lee, Hideki Nakayama, Kyunghyun Cho
Latent-Variable Non-Autoregressive Neural Machine Translation with Deterministic Inference Using a Delta Posterior. AAAI (2020)
Jason Lee, Raphael Shu, Kyunghyun Cho
Iterative Refinement in the Continuous Space for Non-Autoregressive Neural Machine Translation. EMNLP (1) (2020)
Raphael Shu, Jason Lee, Hideki Nakayama, Kyunghyun Cho
Latent-Variable Non-Autoregressive Neural Machine Translation with Deterministic Inference using a Delta Posterior. CoRR (2019)
Jiali Yao, Raphael Shu, Xinjian Li, Katsutoshi Ohtsuki, Hideki Nakayama
Enabling Real-time Neural IME with Incremental Vocabulary Selection. NAACL-HLT (2) (2019)
Raphael Shu, Hideki Nakayama, Kyunghyun Cho
Generating Diverse Translations with Sentence Codes. ACL (1) (2019)
Raphael Shu, Hideki Nakayama
Compressing Word Embeddings via Deep Compositional Code Learning. ICLR (Poster) (2018)
Jiali Yao, Raphael Shu, Xinjian Li, Katsutoshi Ohtsuki, Hideki Nakayama
Real-time Neural-based Input Method. CoRR (2018)
Raphael Shu, Hideki Nakayama
Improving Beam Search by Removing Monotonic Constraint for Neural Machine Translation. ACL (2) (2018)
Raphael Shu, Hideki Nakayama
Discrete Structural Planning for Neural Machine Translation. CoRR (2018)
Raphael Shu, Hideki Nakayama
Single-Queue Decoding for Neural Machine Translation. CoRR (2017)
Raphael Shu, Hideki Nakayama
An Empirical Study of Adequate Vision Span for Attention-Based Neural Machine Translation. NMT@ACL (2017)
Raphael Shu, Hideki Nakayama
Compressing Word Embeddings via Deep Compositional Code Learning. CoRR (2017)
Raphael Shu, Hideki Nakayama
Later-stage Minimum Bayes-Risk Decoding for Neural Machine Translation. CoRR (2017)
Natsuda Laokulrat, Sang Phan, Noriki Nishida, Raphael Shu, Yo Ehara, Naoaki Okazaki, Yusuke Miyao, Hideki Nakayama
Generating Video Description using Sequence-to-sequence Model with Temporal Attention. COLING (2016)
Raphael Shu, Akiva Miura
Residual Stacking of RNNs for Neural Machine Translation. WAT@COLING (2016)
Raphael Shu, Hideki Nakayama
Reducing Redundant Computations with Flexible Attention. CoRR (2016)