| 2026 | AAAI | On the Alignment of Large Language Models with Global Human Opinion. | Yang Liu, Masahiro Kaneko, Chenhui Chu |
| 2026 | ACL | Rethinking Meeting Effectiveness: A Benchmark and Framework for Temporal Fine-grained Automatic Meeting Effectiveness Evaluation. | Yihang Li, Chenhui Chu |
| 2026 | ACL | MPTc-Bench: Measuring Cross-market Generative Ability of Vision-Language Models via Movie Poster Transcreation. | Youyuan Lin, Yuan Li, Yahan Yu, Fei Cheng, Shin'ya Nishida, Chenhui Chu |
| 2026 | ACL | Understanding the Prompt Sensitivity. | Yang Liu, Chenhui Chu |
| 2026 | ACL | Speech-Hands: A Self-Reflection Voice Agentic Approach to Speech Recognition and Audio Reasoning with Omni Perception. | Zhen Wan, Chao-Han Huck Yang, Jinchuan Tian, Hanrong Ye, Ankita Pasad, Szu-Wei Fu, Arushi Goel, Ryo Hachiuma, Shizhe Diao, Kunal Dhawan, Sreyan Ghosh, Yusuke Hirota, Zhehuai Chen, Rafael Valle, Chenhui Chu, Shinji Watanabe, Boris Ginsburg, Yu-Chiang Frank Wang |
| 2026 | EACL | Language Lives in Sparse Dimensions: Toward Interpretable and Efficient Multilingual Control for Large Language Models. | Chengzhi Zhong, Fei Cheng, Qianying Liu, Yugo Murawaki, Chenhui Chu, Sadao Kurohashi |
| 2026 | LREC | Scaling LLM Reasoning from Minimal Labels: A Semi-Supervised Framework with a Lightweight Verifier. | Keizo Kato, Chenhui Chu, Yugo Murawaki, Sadao Kurohashi |
| 2025 | ACL | SpeechIQ: Speech-Agentic Intelligence Quotient Across Cognitive Levels in Voice Understanding by Large Language Models. | Zhen Wan, Chao-Han Huck Yang, Yahan Yu, Jinchuan Tian, Sheng Li, Ke Hu, Zhehuai Chen, Shinji Watanabe, Fei Cheng, Chenhui Chu, Sadao Kurohashi |
| 2025 | ACL | Generative Error Correction for Emotion-aware Speech-to-text Translation. | Zhengdong Yang, Sheng Li, Chenhui Chu |
| 2025 | ACL | When Large Language Models Meet Speech: A Survey on Integration Approaches. | Zhengdong Yang, Shuichiro Shimizu, Yahan Yu, Chenhui Chu |
| 2025 | ACL | Progressive LoRA for Multimodal Continual Instruction Tuning. | Yahan Yu, Duzhen Zhang, Yong Ren, Xuanle Zhao, Xiuyi Chen, Chenhui Chu |
| 2025 | ACL | What Language Do Non-English-Centric Large Language Models Think in? | Chengzhi Zhong, Qianying Liu, Fei Cheng, Junfeng Jiang, Zhen Wan, Chenhui Chu, Yugo Murawaki, Sadao Kurohashi |
| 2025 | CogSci | Cognitive Insights into Document Comprehension: The Role of Reading Order and Visual Attention in Human and Large Language Models. | Qingxuan Wang, Hao Wang, Huiran Zhang, Chenhui Chu, Rui Wang, Pinpin Zhu |
| 2025 | EMNLP | Do LLMs Align Human Values Regarding Social Biases? Judging and Explaining Social Biases with LLMs. | Yang Liu, Chenhui Chu |
| 2025 | EMNLP | How Does Cognitive Bias Affect Large Language Models? A Case Study on the Anchoring Effect in Price Negotiation Simulations. | Yoshiki Takenami, Yin Jou Huang, Yugo Murawaki, Chenhui Chu |
| 2025 | EMNLP | CoVoGER: A Multilingual Multitask Benchmark for Speech-to-text Generative Error Correction with Large Language Models. | Zhengdong Yang, Zhen Wan, Sheng Li, Chao-Han Huck Yang, Chenhui Chu |
| 2025 | ICASSP | Extending Whisper for Emotion Prediction Using Word-level Pseudo Labels. | Kwok Chin Yuen, Sheng Li, Jia Qi Yip, Chenhui Chu, Tatsuya Kawahara, Eng Siong Chng |
| 2024 | ACL | MELD-ST: An Emotion-aware Speech Translation Dataset. | Sirou Chen, Sakiko Yahata, Shuichiro Shimizu, Zhengdong Yang, Yihang Li, Chenhui Chu, Sadao Kurohashi |
| 2024 | ACL | Flexible Weight Tuning and Weight Fusion Strategies for Continual Named Entity Recognition. | Yahan Yu, Duzhen Zhang, Xiuyi Chen, Chenhui Chu |
| 2024 | ACL | MM-LLMs: Recent Advances in MultiModal Large Language Models. | Duzhen Zhang, Yahan Yu, Jiahua Dong, Chenxing Li, Dan Su, Chenhui Chu, Dong Yu |
| 2024 | COLING | Identifying Source Language Expressions for Pre-editing in Machine Translation. | Norizo Sakaguchi, Yugo Murawaki, Chenhui Chu, Sadao Kurohashi |
| 2024 | COLING | Rapidly Developing High-quality Instruction Data and Evaluation Benchmark for Large Language Models with Minimal Human Effort: A Case Study on Japanese. | Yikun Sun, Zhen Wan, Nobuhiro Ueda, Sakiko Yahata, Fei Cheng, Chenhui Chu, Sadao Kurohashi |
| 2024 | COLING | Abstractive Multi-Video Captioning: Benchmark Dataset Construction and Extensive Evaluation. | Rikito Takahashi, Hirokazu Kiyomaru, Chenhui Chu, Sadao Kurohashi |
| 2024 | COLING | Towards Human-Like Machine Comprehension: Few-Shot Relational Learning in Visually-Rich Documents. | Hao Wang, Tang Li, Chenhui Chu, Rui Wang, Pinpin Zhu |
| 2024 | EAMT | SubMerge: Merging Equivalent Subword Tokenizations for Subword Regularized Models in Neural Machine Translation. | Haiyue Song, Francois Meyer, Raj Dabre, Hideki Tanaka, Chenhui Chu, Sadao Kurohashi |
| 2024 | ICASSP | Enhancing Two-Stage Finetuning for Speech Emotion Recognition Using Adapters. | Yuan Gao, Hao Shi, Chenhui Chu, Tatsuya Kawahara |
| 2024 | ICASSP | MOS-FAD: Improving Fake Audio Detection Via Automatic Mean Opinion Score Prediction. | Wangjin Zhou, Zhengdong Yang, Chenhui Chu, Sheng Li, Raj Dabre, Yi Zhao, Tatsuya Kawahara |
| 2024 | Interspeech | Speech Emotion Recognition with Multi-level Acoustic and Semantic Information Extraction and Interaction. | Yuan Gao, Hao Shi, Chenhui Chu, Tatsuya Kawahara |
| 2024 | Interspeech | Investigating ASR Error Correction with Large Language Model and Multilingual 1-best Hypotheses. | Sheng Li, Chen Chen, Kwok Chin Yuen, Chenhui Chu, Eng Siong Chng, Hisashi Kawai |
| 2024 | SIGdial | StyEmp: Stylizing Empathetic Response Generation via Multi-Grained Prefix Encoder and Personality Reinforcement. | Yahui Fu, Chenhui Chu, Tatsuya Kawahara |
| 2023 | ACL | Exploring the Impact of Layer Normalization for Zero-shot Neural Machine Translation. | Zhuoyuan Mao, Raj Dabre, Qianying Liu, Haiyue Song, Chenhui Chu, Sadao Kurohashi |
| 2023 | ACL | Towards Speech Dialogue Translation Mediating Speakers of Different Languages. | Shuichiro Shimizu, Chenhui Chu, Sheng Li, Sadao Kurohashi |
| 2023 | ASRU | FedCPC: An Effective Federated Contrastive Learning Method for Privacy Preserving Early-Stage Alzheimers Speech Detection. | Wenqing Wei, Zhengdong Yang, Yuan Gao, Jiyi Li, Chenhui Chu, Shogo Okada, Sheng Li |
| 2023 | DCAI | Investigating the Gap Between Single-Hop and Multi-Hop Questions in Closed-Book Question Answering via Question Decomposition. | Tareq Alkhaldi, Chenhui Chu, Sadao Kurohashi |
| 2023 | EMNLP | ARKitSceneRefer: Text-based Localization of Small Objects in Diverse Real-World 3D Indoor Scenes. | Shunya Kato, Shuhei Kurita, Chenhui Chu, Sadao Kurohashi |
| 2023 | EMNLP | Video-Helpful Multimodal Machine Translation. | Yihang Li, Shuichiro Shimizu, Chenhui Chu, Sadao Kurohashi, Wei Li |
| 2023 | EMNLP | Vision-Enhanced Semantic Entity Recognition in Document Images via Visually-Asymmetric Consistency Learning. | Hao Wang, Xiahua Chen, Rui Wang, Chenhui Chu |
| 2023 | EMNLP | DocTrack: A Visually-Rich Document Dataset Really Aligned with Human Eye Movement for Machine Reading. | Hao Wang, Qingxuan Wang, Yue Li, Changqing Wang, Chenhui Chu, Rui Wang |
| 2023 | ICASSP | Domain and Language Adaptation Using Heterogeneous Datasets for Wav2vec2.0-Based Speech Recognition of Low-Resource Language. | Soky Kak, Sheng Li, Chenhui Chu, Tatsuya Kawahara |
| 2023 | ICASSP | Hierarchical Softmax for End-To-End Low-Resource Multilingual Speech Recognition. | Qianying Liu, Zhuo Gong, Zhengdong Yang, Yuhang Yang, Sheng Li, Chenchen Ding, Nobuaki Minematsu, Hao Huang, Fei Cheng, Chenhui Chu, Sadao Kurohashi |
| 2023 | Interspeech | Two-stage Finetuning of Wav2vec 2.0 for Speech Emotion Recognition with ASR and Gender Pretraining. | Yuan Gao, Chenhui Chu, Tatsuya Kawahara |
| 2023 | SIGdial | Reasoning before Responding: Integrating Commonsense-based Causality Explanation for Empathetic Response Generation. | Yahui Fu, Koji Inoue, Chenhui Chu, Tatsuya Kawahara |
| 2022 | ACL | Flexible Visual Grounding. | Yongmin Kim, Chenhui Chu, Sadao Kurohashi |
| 2022 | IJCNLP | BERTSeg: BERT Based Unsupervised Subword Segmentation for Neural Machine Translation. | Haiyue Song, Raj Dabre, Zhuoyuan Mao, Chenhui Chu, Sadao Kurohashi |
| 2022 | Interspeech | Leveraging Simultaneous Translation for Enhancing Transcription of Low-resource Language via Cross Attention Mechanism. | Soky Kak, Sheng Li, Masato Mimura, Chenhui Chu, Tatsuya Kawahara |
| 2022 | Interspeech | Fusion of Self-supervised Learned Models for MOS Prediction. | Zhengdong Yang, Wangjin Zhou, Chenhui Chu, Sheng Li, Raj Dabre, Raphael Rubino, Yi Zhao |
| 2022 | LREC | VISA: An Ambiguous Subtitles Dataset for Visual Scene-aware Machine Translation. | Yihang Li, Shuichiro Shimizu, Weiqi Gu, Chenhui Chu, Sadao Kurohashi |
| 2022 | NAACL | When do Contrastive Word Alignments Improve Many-to-many Neural Machine Translation? | Zhuoyuan Mao, Chenhui Chu, Raj Dabre, Haiyue Song, Zhen Wan, Sadao Kurohashi |
| 2021 | ACL | Video-guided Machine Translation with Spatial Hierarchical Attention Network. | Weiqi Gu, Haiyue Song, Chenhui Chu, Sadao Kurohashi |
| 2021 | ACL | Lightweight Cross-Lingual Sentence Representation Learning. | Zhuoyuan Mao, Prakhar Gupta, Chenhui Chu, Martin Jaggi, Sadao Kurohashi |
| 2021 | ACL | Attending Self-Attention: A Case Study of Visually Grounded Supervision in Vision-and-Language Transformers. | Jules Samaran, Noa Garcia, Mayu Otani, Chenhui Chu, Yuta Nakashima |
| 2021 | BMVC | Transferring Domain-Agnostic Knowledge in Video Question Answering. | Tianran Wu, Noa Garcia, Mayu Otani, Chenhui Chu, Yuta Nakashima, Haruo Takemura |
| 2021 | NAACL | WRIME: A New Dataset for Emotional Intensity Estimation with Subjective and Objective Annotations. | Tomoyuki Kajiwara, Chenhui Chu, Noriko Takemura, Yuta Nakashima, Hajime Nagahara |
| 2021 | WACV | The Laughing Machine: Predicting Humor in Video. | Yuta Kayatani, Zekun Yang, Mayu Otani, Noa Garcia, Chenhui Chu, Yuta Nakashima, Haruo Takemura |
| 2020 | AAAI | KnowIT VQA: Answering Knowledge-Based Questions about Videos. | Noa Garcia, Mayu Otani, Chenhui Chu, Yuta Nakashima |
| 2020 | ACL | Text Classification with Negative Supervision. | Sora Ohashi, Junya Takayama, Tomoyuki Kajiwara, Chenhui Chu, Yuki Arase |
| 2020 | COLING | Multilingual Neural Machine Translation. | Raj Dabre, Chenhui Chu, Anoop Kunchukuttan |
| 2020 | EAMT | Double Attention-based Multimodal Neural Machine Translation with Semantic Image Regions. | Yuting Zhao, Mamoru Komachi, Tomoyuki Kajiwara, Chenhui Chu |
| 2020 | ECCV | A Dataset and Baselines for Visual Question Answering on Art. | Noa Garcia, Chentao Ye, Zihua Liu, Qingtao Hu, Mayu Otani, Chenhui Chu, Yuta Nakashima, Teruko Mitamura |
| 2020 | LREC | Annotation of Adverse Drug Reactions in Patients' Weblogs. | Yuki Arase, Tomoyuki Kajiwara, Chenhui Chu |
| 2020 | LREC | Constructing a Public Meeting Corpus. | Koji Tanaka, Chenhui Chu, Haolin Ren, Benjamin Renoust, Yuta Nakashima, Noriko Takemura, Hajime Nagahara, Takao Fujikawa |
| 2020 | WACV | BERT Representations for Video Question Answering. | Zekun Yang, Noa Garcia, Chenhui Chu, Mayu Otani, Yuta Nakashima, Haruo Takemura |
| 2019 | EMNLP | Exploiting Multilingualism through Multistage Fine-Tuning for Low-Resource Neural Machine Translation. | Raj Dabre, Atsushi Fujita, Chenhui Chu |
| 2018 | ACL | Recursive Neural Network Based Preordering for English-to-Japanese Machine Translation. | Yuki Kawara, Chenhui Chu, Yuki Arase |
| 2018 | COLING | iParaphrasing: Extracting Visually Grounded Paraphrases via an Image. | Chenhui Chu, Mayu Otani, Yuta Nakashima |
| 2018 | COLING | A Survey of Domain Adaptation for Neural Machine Translation. | Chenhui Chu, Rui Wang |
| 2017 | ACL | An Empirical Comparison of Domain Adaptation Methods for Neural Machine Translation. | Chenhui Chu, Raj Dabre, Sadao Kurohashi |
| 2016 | ACL | Dependency Forest based Word Alignment. | Otsuki Hitoshi, Chenhui Chu, Toshiaki Nakazawa, Sadao Kurohashi |
| 2016 | COLING | Consistent Word Segmentation, Part-of-Speech Tagging and Dependency Labelling Annotation for Chinese Language. | Mo Shen, Wingmui Li, HyunJeong Choe, Chenhui Chu, Daisuke Kawahara, Sadao Kurohashi |
| 2016 | LREC | Simultaneous Sentence Boundary Detection and Alignment with Pivot-based Machine Translation Generated Lexicons. | Antoine Bourlon, Chenhui Chu, Toshiaki Nakazawa, Sadao Kurohashi |
| 2016 | LREC | Parallel Sentence Extraction from Comparable Corpora with Neural Network Features. | Chenhui Chu, Raj Dabre, Sadao Kurohashi |
| 2016 | LREC | Paraphrasing Out-of-Vocabulary Words with Word Embeddings and Semantic Lexicons for Low Resource Statistical Machine Translation. | Chenhui Chu, Sadao Kurohashi |
| 2015 | PACLIC | Large-scale Dictionary Construction via Pivot-based Statistical Machine Translation with Significance Pruning and Neural Network Features. | Raj Dabre, Chenhui Chu, Fabien Cromiers, Toshiaki Nakazawa, Sadao Kurohashi |
| 2015 | PACLIC | Cross-language Projection of Dependency Trees for Tree-to-tree Machine Translation. | Yu Shen, Chenhui Chu, Fabien Cromiers, Sadao Kurohashi |
| 2014 | CICLING | Iterative Bilingual Lexicon Extraction from Comparable Corpora with Topical and Contextual Knowledge. | Chenhui Chu, Toshiaki Nakazawa, Sadao Kurohashi |
| 2014 | LREC | Constructing a Chinese―Japanese Parallel Corpus from Wikipedia. | Chenhui Chu, Toshiaki Nakazawa, Sadao Kurohashi |
| 2014 | PACLIC | Improving Statistical Machine Translation Accuracy Using Bilingual Lexicon Extractionwith Paraphrases. | Chenhui Chu, Toshiaki Nakazawa, Sadao Kurohashi |
| 2013 | IJCNLP | Accurate Parallel Fragment Extraction from Quasi-Comparable Corpora using Alignment Model and Translation Lexicon. | Chenhui Chu, Toshiaki Nakazawa, Sadao Kurohashi |
| 2012 | EAMT | Exploiting Shared Chinese Characters in Chinese Word Segmentation Optimization for Chinese-Japanese Machine Translation. | Chenhui Chu, Toshiaki Nakazawa, Daisuke Kawahara, Sadao Kurohashi |
| 2012 | LREC | Chinese Characters Mapping Table of Japanese, Traditional Chinese and Simplified Chinese. | Chenhui Chu, Toshiaki Nakazawa, Sadao Kurohashi |