Residual Stacking of RNNs for Neural Machine Translation. - Raphael Shu; Akiva Miura (WAT@COLING, 2016)

Generating Video Description using Sequence-to-sequence Model with Temporal Attention. - Natsuda Laokulrat; Sang Phan; Noriki Nishida; Raphael Shu; Yo Ehara; Naoaki Okazaki; Yusuke Miyao; Hideki Nakayama (COLING, 2016)

Reducing Redundant Computations with Flexible Attention. - Raphael Shu; Hideki Nakayama (CoRR, 2016)

An Empirical Study of Adequate Vision Span for Attention-Based Neural Machine Translation. - Raphael Shu; Hideki Nakayama (NMT@ACL, 2017)

Later-stage Minimum Bayes-Risk Decoding for Neural Machine Translation. - Raphael Shu; Hideki Nakayama (CoRR, 2017)

Single-Queue Decoding for Neural Machine Translation. - Raphael Shu; Hideki Nakayama (CoRR, 2017)

Improving Beam Search by Removing Monotonic Constraint for Neural Machine Translation. - Raphael Shu; Hideki Nakayama (ACL (2), 2018)

Compressing Word Embeddings via Deep Compositional Code Learning. - Raphael Shu; Hideki Nakayama (ICLR (Poster), 2018)

Discrete Structural Planning for Neural Machine Translation. - Raphael Shu; Hideki Nakayama (CoRR, 2018)

Real-time Neural-based Input Method. - Jiali Yao; Raphael Shu; Xinjian Li; Katsutoshi Ohtsuki; Hideki Nakayama (CoRR, 2018)

Generating Diverse Translations with Sentence Codes. - Raphael Shu; Hideki Nakayama; Kyunghyun Cho (ACL (1), 2019)

Enabling Real-time Neural IME with Incremental Vocabulary Selection. - Jiali Yao; Raphael Shu; Xinjian Li; Katsutoshi Ohtsuki; Hideki Nakayama (NAACL-HLT (2), 2019)

Latent-Variable Non-Autoregressive Neural Machine Translation with Deterministic Inference Using a Delta Posterior. - Raphael Shu; Jason Lee 002; Hideki Nakayama; Kyunghyun Cho (AAAI, 2020)

Iterative Refinement in the Continuous Space for Non-Autoregressive Neural Machine Translation. - Jason Lee 002; Raphael Shu; Kyunghyun Cho (EMNLP (1), 2020)

GraphPlan: Story Generation by Planning with Event Graph. - Hong Chen 017; Raphael Shu; Hiroya Takamura; Hideki Nakayama (INLG, 2021)

Reward Optimization for Neural Machine Translation with Learned Metrics. - Raphael Shu; Kang Min Yoo; Jung-Woo Ha 001 (CoRR, 2021)

Federated Semi-Supervised Learning with Prototypical Networks. - Woojung Kim; Keondo Park; Kihyuk Sohn; Raphael Shu; Hyung-Sin Kim (CoRR, 2022)

Dialog2API: Task-Oriented Dialogue with API Description and Example Programs. - Raphael Shu; Elman Mansimov; Tamer Alkhouli; Nikolaos Pappas 004; Salvatore Romeo; Arshit Gupta; Saab Mansour; Yi Zhang 001; Dan Roth 001 (CoRR, 2022)

Improving Noised Gradient Penalty with Synchronized Activation Function for Generative Adversarial Networks. - Rui Yang 021; Raphael Shu; Hideki Nakayama (IEICE Trans. Inf. Syst., 2022)

Pre-training Intent-Aware Encoders for Zero- and Few-Shot Intent Classification. - Mujeen Sung; James Gung; Elman Mansimov; Nikolaos Pappas 004; Raphael Shu; Salvatore Romeo; Yi Zhang 001; Vittorio Castelli (EMNLP, 2023)

Conversation Style Transfer using Few-Shot Learning. - Shamik Roy; Raphael Shu; Nikolaos Pappas 004; Elman Mansimov; Yi Zhang 001; Saab Mansour; Dan Roth 001 (IJCNLP (1), 2023)

DiactTOD: Learning Generalizable Latent Dialogue Acts for Controllable Task-Oriented Dialogue Systems. - Qingyang Wu; James Gung; Raphael Shu; Yi Zhang (SIGDIAL, 2023)

Intent Induction from Conversations for Task-Oriented Dialogue Track at DSTC 11. - James Gung; Raphael Shu; Emily Moeng; Wesley Rose; Salvatore Romeo; Yassine Benajiba; Arshit Gupta; Saab Mansour; Yi Zhang (CoRR, 2023)

User Simulation with Large Language Models for Evaluating Task-Oriented Dialogue. - Sam Davidson; Salvatore Romeo; Raphael Shu; James Gung; Arshit Gupta; Saab Mansour; Yi Zhang (CoRR, 2023)

RoundTable: Investigating Group Decision-Making Mechanism in Multi-Agent Collaboration. - Young-Min Cho; Raphael Shu; Nilaksh Das; Tamer Alkhouli; Yi-An Lai; Jason Cai; Monica Sunkara; Yi Zhang (CoRR, 2024)

Towards Effective GenAI Multi-Agent Collaboration: Design and Evaluation for Enterprise Applications. - Raphael Shu; Nilaksh Das; Michelle Yuan; Monica Sunkara; Yi Zhang (CoRR, 2024)

CONFETTI: Conversational Function-Calling Evaluation Through Turn-Level Interactions. - Tamer Alkhouli; Katerina Margatina; James Gung; Raphael Shu; Claudia Zaghi; Monica Sunkara; Yi Zhang 001 (ACL (1), 2025)

TReMu: Towards Neuro-Symbolic Temporal Reasoning for LLM-Agents with Memory in Multi-Session Dialogues. - Yubin Ge; Salvatore Romeo; Jason Cai; Raphael Shu; Yassine Benajiba; Monica Sunkara; Yi Zhang (ACL (Findings), 2025)

Structured List-Grounded Question Answering. - Mujeen Sung; Song Feng 001; James Gung; Raphael Shu; Yi Zhang 053; Saab Mansour (COLING, 2025)

Faithful, Unfaithful or Ambiguous? Multi-Agent Debate with Initial Stance for Summary Evaluation. - Mahnaz Koupaee; Jake W. Vincent; Saab Mansour; Igor Shalyminov; Han He; Hwanjun Song; Raphael Shu; Jianfeng He; Yi Nian; Amy Wing-mei Wong; Kyu J. Han; Hang Su (NAACL (Long Papers), 2025)

Optimizing LLM-Based Multi-Agent System with Textual Feedback: A Case Study on Software Development. - Ming Shen; Raphael Shu; Anurag Pratik; James Gung; Yubin Ge; Monica Sunkara; Yi Zhang (CoRR, 2025)