Raphael Shu

43 papers A* 2B 4Journal 26Unranked 11
YearRankTypeTitle / Venue / Authors
2025 — conf
CONFETTI: Conversational Function-Calling Evaluation Through Turn-Level Interactions.
ACL (1)
Tamer Alkhouli, Katerina Margatina, James Gung, Raphael Shu, Claudia Zaghi, Monica Sunkara, Yi Zhang
2025 J jnl
CONFETTI: Conversational Function-Calling Evaluation Through Turn-Level Interactions.
CoRR
Tamer Alkhouli, Katerina Margatina, James Gung, Raphael Shu, Claudia Zaghi, Monica Sunkara, Yi Zhang
2025 J jnl
Controllable Conversational Theme Detection Track at DSTC 12.
CoRR
Igor Shalyminov, Hang Su, Jake W. Vincent, Siffi Singh, Jason Cai, James Gung, Raphael Shu, Saab Mansour
2025 — conf
Faithful, Unfaithful or Ambiguous? Multi-Agent Debate with Initial Stance for Summary Evaluation.
NAACL (Long Papers)
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
2025 J jnl
Faithful, Unfaithful or Ambiguous? Multi-Agent Debate with Initial Stance for Summary Evaluation.
CoRR
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
2025 J jnl
Optimizing LLM-Based Multi-Agent System with Textual Feedback: A Case Study on Software Development.
CoRR
Ming Shen, Raphael Shu, Anurag Pratik, James Gung, Yubin Ge, Monica Sunkara, Yi Zhang
2025 B conf
Structured List-Grounded Question Answering.
COLING
Mujeen Sung, Song Feng, James Gung, Raphael Shu, Yi Zhang, Saab Mansour
2025 — conf
TReMu: Towards Neuro-Symbolic Temporal Reasoning for LLM-Agents with Memory in Multi-Session Dialogues.
ACL (Findings)
Yubin Ge, Salvatore Romeo, Jason Cai, Raphael Shu, Yassine Benajiba, Monica Sunkara, Yi Zhang
2025 J jnl
TReMu: Towards Neuro-Symbolic Temporal Reasoning for LLM-Agents with Memory in Multi-Session Dialogues.
CoRR
Yubin Ge, Salvatore Romeo, Jason Cai, Raphael Shu, Monica Sunkara, Yassine Benajiba, Yi Zhang
2024 J jnl
RoundTable: Investigating Group Decision-Making Mechanism in Multi-Agent Collaboration.
CoRR
Young-Min Cho, Raphael Shu, Nilaksh Das, Tamer Alkhouli, Yi-An Lai, Jason Cai, Monica Sunkara, Yi Zhang
2024 J jnl
Structured List-Grounded Question Answering.
CoRR
Mujeen Sung, Song Feng, James Gung, Raphael Shu, Yi Zhang, Saab Mansour
2024 J jnl
Towards Effective GenAI Multi-Agent Collaboration: Design and Evaluation for Enterprise Applications.
CoRR
Raphael Shu, Nilaksh Das, Michelle Yuan, Monica Sunkara, Yi Zhang
2023 — conf
Conversation Style Transfer using Few-Shot Learning.
IJCNLP (1)
Shamik Roy, Raphael Shu, Nikolaos Pappas, Elman Mansimov, Yi Zhang, Saab Mansour, Dan Roth
2023 J jnl
Conversation Style Transfer using Few-Shot Learning.
CoRR
Shamik Roy, Raphael Shu, Nikolaos Pappas, Elman Mansimov, Yi Zhang, Saab Mansour, Dan Roth
2023 B conf
DiactTOD: Learning Generalizable Latent Dialogue Acts for Controllable Task-Oriented Dialogue Systems.
SIGDIAL
Qingyang Wu, James Gung, Raphael Shu, Yi Zhang
2023 J jnl
DiactTOD: Learning Generalizable Latent Dialogue Acts for Controllable Task-Oriented Dialogue Systems.
CoRR
Qingyang Wu, James Gung, Raphael Shu, Yi Zhang
2023 J jnl
Intent Induction from Conversations for Task-Oriented Dialogue Track at DSTC 11.
CoRR
James Gung, Raphael Shu, Emily Moeng, Wesley Rose, Salvatore Romeo, Yassine Benajiba, Arshit Gupta, Saab Mansour, Yi Zhang
2023 A* conf
Pre-training Intent-Aware Encoders for Zero- and Few-Shot Intent Classification.
EMNLP
Mujeen Sung, James Gung, Elman Mansimov, Nikolaos Pappas, Raphael Shu, Salvatore Romeo, Yi Zhang, Vittorio Castelli
2023 J jnl
Pre-training Intent-Aware Encoders for Zero- and Few-Shot Intent Classification.
CoRR
Mujeen Sung, James Gung, Elman Mansimov, Nikolaos Pappas, Raphael Shu, Salvatore Romeo, Yi Zhang, Vittorio Castelli
2023 J jnl
User Simulation with Large Language Models for Evaluating Task-Oriented Dialogue.
CoRR
Sam Davidson, Salvatore Romeo, Raphael Shu, James Gung, Arshit Gupta, Saab Mansour, Yi Zhang
2022 J jnl
Dialog2API: Task-Oriented Dialogue with API Description and Example Programs.
CoRR
Raphael Shu, Elman Mansimov, Tamer Alkhouli, Nikolaos Pappas, Salvatore Romeo, Arshit Gupta, Saab Mansour, Yi Zhang, Dan Roth
2022 J jnl
Federated Semi-Supervised Learning with Prototypical Networks.
CoRR
Woojung Kim, Keondo Park, Kihyuk Sohn, Raphael Shu, Hyung-Sin Kim
2022 J jnl
Improving Noised Gradient Penalty with Synchronized Activation Function for Generative Adversarial Networks.
IEICE Trans. Inf. Syst.
Rui Yang, Raphael Shu, Hideki Nakayama
2021 B conf
GraphPlan: Story Generation by Planning with Event Graph.
INLG
Hong Chen, Raphael Shu, Hiroya Takamura, Hideki Nakayama
2021 J jnl
GraphPlan: Story Generation by Planning with Event Graph.
CoRR
Hong Chen, Raphael Shu, Hiroya Takamura, Hideki Nakayama
2021 J jnl
Reward Optimization for Neural Machine Translation with Learned Metrics.
CoRR
Raphael Shu, Kang Min Yoo, Jung-Woo Ha
2020 — conf
Iterative Refinement in the Continuous Space for Non-Autoregressive Neural Machine Translation.
EMNLP (1)
Jason Lee, Raphael Shu, Kyunghyun Cho
2020 J jnl
Iterative Refinement in the Continuous Space for Non-Autoregressive Neural Machine Translation.
CoRR
Jason Lee, Raphael Shu, Kyunghyun Cho
2020 A* conf
Latent-Variable Non-Autoregressive Neural Machine Translation with Deterministic Inference Using a Delta Posterior.
AAAI
Raphael Shu, Jason Lee, Hideki Nakayama, Kyunghyun Cho
2019 — conf
Enabling Real-time Neural IME with Incremental Vocabulary Selection.
NAACL-HLT (2)
Jiali Yao, Raphael Shu, Xinjian Li, Katsutoshi Ohtsuki, Hideki Nakayama
2019 — conf
Generating Diverse Translations with Sentence Codes.
ACL (1)
Raphael Shu, Hideki Nakayama, Kyunghyun Cho
2019 J jnl
Latent-Variable Non-Autoregressive Neural Machine Translation with Deterministic Inference using a Delta Posterior.
CoRR
Raphael Shu, Jason Lee, Hideki Nakayama, Kyunghyun Cho
2018 — conf
Compressing Word Embeddings via Deep Compositional Code Learning.
ICLR (Poster)
Raphael Shu, Hideki Nakayama
2018 J jnl
Discrete Structural Planning for Neural Machine Translation.
CoRR
Raphael Shu, Hideki Nakayama
2018 — conf
Improving Beam Search by Removing Monotonic Constraint for Neural Machine Translation.
ACL (2)
Raphael Shu, Hideki Nakayama
2018 J jnl
Real-time Neural-based Input Method.
CoRR
Jiali Yao, Raphael Shu, Xinjian Li, Katsutoshi Ohtsuki, Hideki Nakayama
2017 — conf
An Empirical Study of Adequate Vision Span for Attention-Based Neural Machine Translation.
NMT@ACL
Raphael Shu, Hideki Nakayama
2017 J jnl
Compressing Word Embeddings via Deep Compositional Code Learning.
CoRR
Raphael Shu, Hideki Nakayama
2017 J jnl
Later-stage Minimum Bayes-Risk Decoding for Neural Machine Translation.
CoRR
Raphael Shu, Hideki Nakayama
2017 J jnl
Single-Queue Decoding for Neural Machine Translation.
CoRR
Raphael Shu, Hideki Nakayama
2016 B conf
Generating Video Description using Sequence-to-sequence Model with Temporal Attention.
COLING
Natsuda Laokulrat, Sang Phan, Noriki Nishida, Raphael Shu, Yo Ehara, Naoaki Okazaki, Yusuke Miyao, Hideki Nakayama
2016 J jnl
Reducing Redundant Computations with Flexible Attention.
CoRR
Raphael Shu, Hideki Nakayama
2016 — conf
Residual Stacking of RNNs for Neural Machine Translation.
WAT@COLING
Raphael Shu, Akiva Miura