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Raphael Shu
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2020 – today
- 2024
- [i18]Mujeen Sung, Song Feng, James Gung, Raphael Shu, Yi Zhang, Saab Mansour:
Structured List-Grounded Question Answering. CoRR abs/2410.03950 (2024) - 2023
- [c13]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: 10433-10442 - [c12]Shamik Roy, Raphael Shu, Nikolaos Pappas, Elman Mansimov, Yi Zhang, Saab Mansour, Dan Roth:
Conversation Style Transfer using Few-Shot Learning. IJCNLP (1) 2023: 119-143 - [c11]Qingyang Wu, James Gung, Raphael Shu, Yi Zhang:
DiactTOD: Learning Generalizable Latent Dialogue Acts for Controllable Task-Oriented Dialogue Systems. SIGDIAL 2023: 255-267 - [i17]Shamik Roy, Raphael Shu, Nikolaos Pappas, Elman Mansimov, Yi Zhang, Saab Mansour, Dan Roth:
Conversation Style Transfer using Few-Shot Learning. CoRR abs/2302.08362 (2023) - [i16]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 abs/2304.12982 (2023) - [i15]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 abs/2305.14827 (2023) - [i14]Qingyang Wu, James Gung, Raphael Shu, Yi Zhang:
DiactTOD: Learning Generalizable Latent Dialogue Acts for Controllable Task-Oriented Dialogue Systems. CoRR abs/2308.00878 (2023) - [i13]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 abs/2309.13233 (2023) - 2022
- [j1]Rui Yang
Improving Noised Gradient Penalty with Synchronized Activation Function for Generative Adversarial Networks. IEICE Trans. Inf. Syst. 105-D(9): 1537-1545 (2022) - [i12]Woojung Kim, Keondo Park, Kihyuk Sohn, Raphael Shu, Hyung-Sin Kim:
Federated Semi-Supervised Learning with Prototypical Networks. CoRR abs/2205.13921 (2022) - [i11]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 abs/2212.09946 (2022) - 2021
- [c10]Hong Chen, Raphael Shu, Hiroya Takamura, Hideki Nakayama:
GraphPlan: Story Generation by Planning with Event Graph. INLG 2021: 377-386 - [i10]Hong Chen, Raphael Shu, Hiroya Takamura, Hideki Nakayama:
GraphPlan: Story Generation by Planning with Event Graph. CoRR abs/2102.02977 (2021) - [i9]Raphael Shu, Kang Min Yoo, Jung-Woo Ha:
Reward Optimization for Neural Machine Translation with Learned Metrics. CoRR abs/2104.07541 (2021) - 2020
- [c9]Raphael Shu, Jason Lee, Hideki Nakayama
Latent-Variable Non-Autoregressive Neural Machine Translation with Deterministic Inference Using a Delta Posterior. AAAI 2020: 8846-8853 - [c8]Jason Lee, Raphael Shu, Kyunghyun Cho:
Iterative Refinement in the Continuous Space for Non-Autoregressive Neural Machine Translation. EMNLP (1) 2020: 1006-1015 - [i8]Jason Lee, Raphael Shu, Kyunghyun Cho:
Iterative Refinement in the Continuous Space for Non-Autoregressive Neural Machine Translation. CoRR abs/2009.07177 (2020)
2010 – 2019
- 2019
- [c7]Raphael Shu, Hideki Nakayama
Generating Diverse Translations with Sentence Codes. ACL (1) 2019: 1823-1827 - [c6]Jiali Yao, Raphael Shu, Xinjian Li, Katsutoshi Ohtsuki, Hideki Nakayama:
Enabling Real-time Neural IME with Incremental Vocabulary Selection. NAACL-HLT (2) 2019: 1-8 - [i7]Raphael Shu, Jason Lee, Hideki Nakayama, Kyunghyun Cho:
Latent-Variable Non-Autoregressive Neural Machine Translation with Deterministic Inference using a Delta Posterior. CoRR abs/1908.07181 (2019) - 2018
- [c5]Raphael Shu, Hideki Nakayama
Improving Beam Search by Removing Monotonic Constraint for Neural Machine Translation. ACL (2) 2018: 339-344 - [c4]Raphael Shu, Hideki Nakayama:
Compressing Word Embeddings via Deep Compositional Code Learning. ICLR (Poster) 2018 - [i6]Raphael Shu, Hideki Nakayama:
Discrete Structural Planning for Neural Machine Translation. CoRR abs/1808.04525 (2018) - [i5]Jiali Yao, Raphael Shu, Xinjian Li, Katsutoshi Ohtsuki, Hideki Nakayama:
Real-time Neural-based Input Method. CoRR abs/1810.09309 (2018) - 2017
- [c3]Raphael Shu, Hideki Nakayama:
An Empirical Study of Adequate Vision Span for Attention-Based Neural Machine Translation. NMT@ACL 2017: 1-10 - [i4]Raphael Shu, Hideki Nakayama:
Later-stage Minimum Bayes-Risk Decoding for Neural Machine Translation. CoRR abs/1704.03169 (2017) - [i3]Raphael Shu, Hideki Nakayama:
Single-Queue Decoding for Neural Machine Translation. CoRR abs/1707.01830 (2017) - [i2]Raphael Shu, Hideki Nakayama:
Compressing Word Embeddings via Deep Compositional Code Learning. CoRR abs/1711.01068 (2017) - 2016
- [c2]Raphael Shu, Akiva Miura:
Residual Stacking of RNNs for Neural Machine Translation. WAT@COLING 2016: 223-229 - [c1]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: 44-52 - [i1]Raphael Shu, Hideki Nakayama:
Reducing Redundant Computations with Flexible Attention. CoRR abs/1612.06043 (2016)
Coauthor Index
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last updated on 2024-11-18 20:43 CET by the dblp team
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