| 2026 | ACL | VLURes: Benchmarking Long-Text Grounding and Cross-Lingual Robustness in Vision Language Models. | Jesse Atuhurra, Iqra Ali, Tomoya Iwakura, Hidetaka Kamigaito, Tatsuya Hiraoka |
| 2026 | ACL | Simul-COMET: A Quality Metric for Simultaneous Interpretation in Distant Language Pair Considering Word Order Difference. | Kosuke Doi, Mana Makinae, Yusuke Sakai, Hidetaka Kamigaito, Taro Watanabe |
| 2026 | ACL | Measuring Watermarking under Jailbreaking: ASR Inflation and Goal-Compliance Mismatch. | Sungwoo Han, Sangjun Moon, Jingun Kwon, Hidetaka Kamigaito, Manabu Okumura |
| 2026 | ACL | XQ-MEval: A Dataset with Cross-lingual Parallel Quality for Benchmarking Translation Metrics. | Jingxuan Liu, Zhi Qu, Jin Tei, Hidetaka Kamigaito, Lemao Liu, Taro Watanabe |
| 2026 | ACL | Revisiting Non-Verbatim Memorization in Large Language Models: The Role of Entity Surface Forms. | Yuto Nishida, Naoki Shikoda, Yosuke Kishinami, Ryo Fujii, Makoto Morishita, Hidetaka Kamigaito, Taro Watanabe |
| 2026 | ACL | HalluCitation Matters: Revealing the Impact of Hallucinated References with 300 Hallucinated Papers in ACL Conferences. | Yusuke Sakai, Hidetaka Kamigaito, Taro Watanabe |
| 2026 | ACL | Enhancing Factuality through Consensus and Consistency in Summarization Using Minimum Bayes Risk Decoding. | Riza Setiawan Soetedjo, Yusuke Sakai, Hidetaka Kamigaito, Jingun Kwon, Manabu Okumura, Taro Watanabe |
| 2026 | ACL | TableMBR: Minimum Bayes Risk Table Generation Based on Structural Consistency. | Daiki Yoshida, Hiroyuki Deguchi, Yusuke Sakai, Hidetaka Kamigaito, Taro Watanabe |
| 2026 | EACL | Diagnosing Vision Language Models' Perception by Leveraging Human Methods for Color Vision Deficiencies. | Kazuki Hayashi, Shintaro Ozaki, Yusuke Sakai, Hidetaka Kamigaito, Taro Watanabe |
| 2026 | EACL | Cosine Similarity as Logits?: A Scalable Knowledge Probe Using Embedding Vectors from Generative Language Models. | Tomoyuki Jinno, Kazuki Hayashi, Yusuke Sakai, Hidetaka Kamigaito, Taro Watanabe |
| 2026 | EACL | Beyond Sampling: Self-Sorting for Long-Context Ranking. | Juseon-Do, Sungwoo Han, Jingun Kwon, Hidetaka Kamigaito, Katsuhiko Hayashi, Taro Watanabe |
| 2026 | EACL | ConRAS: Contrastive In-context Learning Framework for Retrieval-Augmented Summarization. | Juseon-Do, Sungwoo Han, Jingun Kwon, Hidetaka Kamigaito, Manabu Okumura |
| 2026 | EACL | Progressive Visual Refinement for Multi-modal Summarization. | Ye Xiong, Hidetaka Kamigaito, Soichiro Murakami, Peinan Zhang, Hiroya Takamura, Manabu Okumura |
| 2026 | LREC | MMCIG: Multimodal Cover Image Generation for Text-only Documents and Its Dataset Construction via Pseudo-labeling. | Hyeyeon Kim, Sungwoo Han, Jingun Kwon, Hidetaka Kamigaito, Manabu Okumura |
| 2025 | ACL | Revisiting Compositional Generalization Capability of Large Language Models Considering Instruction Following Ability. | Yusuke Sakai, Hidetaka Kamigaito, Taro Watanabe |
| 2025 | ACL | CoAM: Corpus of All-Type Multiword Expressions. | Yusuke Ide, Joshua Tanner, Adam Nohejl, Jacob Hoffman, Justin Vasselli, Hidetaka Kamigaito, Taro Watanabe |
| 2025 | ACL | Diversity Explains Inference Scaling Laws: Through a Case Study of Minimum Bayes Risk Decoding. | Hidetaka Kamigaito, Hiroyuki Deguchi, Yusuke Sakai, Katsuhiko Hayashi, Taro Watanabe |
| 2025 | ACL | Unveiling the Power of Source: Source-based Minimum Bayes Risk Decoding for Neural Machine Translation. | Boxuan Lyu, Hidetaka Kamigaito, Kotaro Funakoshi, Manabu Okumura |
| 2025 | ACL | AdParaphrase v2.0: Generating Attractive Ad Texts Using a Preference-Annotated Paraphrase Dataset. | Soichiro Murakami, Peinan Zhang, Hidetaka Kamigaito, Hiroya Takamura, Manabu Okumura |
| 2025 | ACL | BQA: Body Language Question Answering Dataset for Video Large Language Models. | Shintaro Ozaki, Kazuki Hayashi, Miyu Oba, Yusuke Sakai, Hidetaka Kamigaito, Taro Watanabe |
| 2025 | ACL | Translating Movie Subtitles by Large Language Models using Movie-meta Information. | Ashmari Pramodya, Yusuke Sakai, Justin Vasselli, Hidetaka Kamigaito, Taro Watanabe |
| 2025 | ACL | Dictionaries to the Rescue: Cross-Lingual Vocabulary Transfer for Low-Resource Languages Using Bilingual Dictionaries. | Haruki Sakajo, Yusuke Ide, Justin Vasselli, Yusuke Sakai, Yingtao Tian, Hidetaka Kamigaito, Taro Watanabe |
| 2025 | CogSci | How Panel Layouts Define Manga: Insights from Visual Ablation Experiments. | Siyuan Feng, Teruya Yoshinaga, Katsuhiko Hayashi, Koki Washio, Hidetaka Kamigaito |
| 2025 | COLING | HLU: Human Vs LLM Generated Text Detection Dataset for Urdu at Multiple Granularities. | Iqra Ali, Jesse Atuhurra, Hidetaka Kamigaito, Taro Watanabe |
| 2025 | COLING | IRR: Image Review Ranking Framework for Evaluating Vision-Language Models. | Kazuki Hayashi, Kazuma Onishi, Toma Suzuki, Yusuke Ide, Seiji Gobara, Shigeki Saito, Yusuke Sakai, Hidetaka Kamigaito, Katsuhiko Hayashi, Taro Watanabe |
| 2025 | EMNLP | Decoding Uncertainty: The Impact of Decoding Strategies for Uncertainty Estimation in Large Language Models. | Wataru Hashimoto, Hidetaka Kamigaito, Taro Watanabe |
| 2025 | EMNLP | Length Representations in Large Language Models. | Sangjun Moon, Dasom Choi, Jingun Kwon, Hidetaka Kamigaito, Manabu Okumura |
| 2025 | EMNLP | SinhalaMMLU: A Comprehensive Benchmark for Evaluating Multitask Language Understanding in Sinhala. | Ashmari Pramodya, Nirasha Nelki, Heshan Shalinda, Chamila Liyanage, Yusuke Sakai, Randil Pushpananda, Ruvan Weerasinghe, Hidetaka Kamigaito, Taro Watanabe |
| 2025 | EMNLP | LoCt-Instruct: An Automatic Pipeline for Constructing Datasets of Logical Continuous Instructions. | Hongyu Sun, Yusuke Sakai, Haruki Sakajo, Shintaro Ozaki, Kazuki Hayashi, Hidetaka Kamigaito, Taro Watanabe |
| 2025 | IJCNLP | Investigating Omission as a Latency Reduction Strategy in Simultaneous Speech Translation. | Mana Makinae, Yusuke Sakai, Hidetaka Kamigaito, Taro Watanabe |
| 2025 | IJCNLP | Agreement-Constrained Probabilistic Minimum Bayes Risk Decoding. | Koki Natsumi, Hiroyuki Deguchi, Yusuke Sakai, Hidetaka Kamigaito, Taro Watanabe |
| 2025 | IROS | J-ORA: A Framework and Multimodal Dataset for Japanese Object Identification, Reference, Action Prediction in Robot Perception. | Jesse Atuhurra, Hidetaka Kamigaito, Taro Watanabe, Koichiro Yoshino |
| 2025 | NAACL | Efficient Nearest Neighbor based Uncertainty Estimation for Natural Language Processing Tasks. | Wataru Hashimoto, Hidetaka Kamigaito, Taro Watanabe |
| 2025 | NAACL | How to Make the Most of LLMs' Grammatical Knowledge for Acceptability Judgments. | Yusuke Ide, Yuto Nishida, Justin Vasselli, Miyu Oba, Yusuke Sakai, Hidetaka Kamigaito, Taro Watanabe |
| 2025 | NAACL | Considering Length Diversity in Retrieval-Augmented Summarization. | Juseon-Do, Jaesung Hwang, Jingun Kwon, Hidetaka Kamigaito, Manabu Okumura |
| 2025 | NAACL | AdParaphrase: Paraphrase Dataset for Analyzing Linguistic Features toward Generating Attractive Ad Texts. | Soichiro Murakami, Peinan Zhang, Hidetaka Kamigaito, Hiroya Takamura, Manabu Okumura |
| 2025 | NAACL | Long-Tail Crisis in Nearest Neighbor Language Models. | Yuto Nishida, Makoto Morishita, Hiroyuki Deguchi, Hidetaka Kamigaito, Taro Watanabe |
| 2025 | NAACL | Towards Cross-Lingual Explanation of Artwork in Large-scale Vision Language Models. | Shintaro Ozaki, Kazuki Hayashi, Yusuke Sakai, Hidetaka Kamigaito, Katsuhiko Hayashi, Taro Watanabe |
| 2025 | NAACL | Tonguescape: Exploring Language Models Understanding of Vowel Articulation. | Haruki Sakajo, Yusuke Sakai, Hidetaka Kamigaito, Taro Watanabe |
| 2025 | NAACL | Reliability of Distribution Predictions by LLMs: Insights from Counterintuitive Pseudo-Distributions. | Toma Suzuki, Ayuki Katayama, Seiji Gobara, Ryo Tsujimoto, Hibiki Nakatani, Kazuki Hayashi, Yusuke Sakai, Hidetaka Kamigaito, Taro Watanabe |
| 2025 | RANLP | Visual Priming Effect on Large-scale Vision Language Models. | Daiki Yoshida, Haruki Sakajo, Kazuki Hayashi, Yusuke Sakai, Hidetaka Kamigaito, Katsuhiko Hayashi, Taro Watanabe |
| 2025 | SMC | Annotation of Manga Reading Order by Scanpath Measurement. | Yuma Iwamoto, Shogo Matsuno, Katsuhiko Hayashi, Hidetaka Kamigaito |
| 2024 | ACL | mCSQA: Multilingual Commonsense Reasoning Dataset with Unified Creation Strategy by Language Models and Humans. | Yusuke Sakai, Hidetaka Kamigaito, Taro Watanabe |
| 2024 | ACL | Centroid-Based Efficient Minimum Bayes Risk Decoding. | Hiroyuki Deguchi, Yusuke Sakai, Hidetaka Kamigaito, Taro Watanabe, Hideki Tanaka, Masao Utiyama |
| 2024 | ACL | Towards Artwork Explanation in Large-scale Vision Language Models. | Kazuki Hayashi, Yusuke Sakai, Hidetaka Kamigaito, Katsuhiko Hayashi, Taro Watanabe |
| 2024 | ACL | InstructCMP: Length Control in Sentence Compression through Instruction-based Large Language Models. | Juseon-Do, Hidetaka Kamigaito, Manabu Okumura, Jingun Kwon |
| 2024 | COLING | Monolingual Paraphrase Detection Corpus for Low Resource Pashto Language at Sentence Level. | Iqra Ali, Hidetaka Kamigaito, Taro Watanabe |
| 2024 | COLING | Disentangling Pretrained Representation to Leverage Low-Resource Languages in Multilingual Machine Translation. | Frederikus Hudi, Zhi Qu, Hidetaka Kamigaito, Taro Watanabe |
| 2024 | EACL | Can we obtain significant success in RST discourse parsing by using Large Language Models? | Aru Maekawa, Tsutomu Hirao, Hidetaka Kamigaito, Manabu Okumura |
| 2024 | EACL | Generating Diverse Translation with Perturbed kNN-MT. | Yuto Nishida, Makoto Morishita, Hidetaka Kamigaito, Taro Watanabe |
| 2024 | EMNLP | mbrs: A Library for Minimum Bayes Risk Decoding. | Hiroyuki Deguchi, Yusuke Sakai, Hidetaka Kamigaito, Taro Watanabe |
| 2024 | EMNLP | Simultaneous Interpretation Corpus Construction by Large Language Models in Distant Language Pair. | Yusuke Sakai, Mana Makinae, Hidetaka Kamigaito, Taro Watanabe |
| 2024 | EMNLP | Exploring Intrinsic Language-specific Subspaces in Fine-tuning Multilingual Neural Machine Translation. | Zhe Cao, Zhi Qu, Hidetaka Kamigaito, Taro Watanabe |
| 2024 | EMNLP | Attention Score is not All You Need for Token Importance Indicator in KV Cache Reduction: Value Also Matters. | Zhiyu Guo, Hidetaka Kamigaito, Taro Watanabe |
| 2024 | EMNLP | Are Data Augmentation Methods in Named Entity Recognition Applicable for Uncertainty Estimation? | Wataru Hashimoto, Hidetaka Kamigaito, Taro Watanabe |
| 2024 | EMNLP | Video Discourse Parsing and Its Application to Multimodal Summarization: A Dataset and Baseline Approaches. | Tsutomu Hirao, Naoki Kobayashi, Hidetaka Kamigaito, Manabu Okumura, Akisato Kimura |
| 2024 | EMNLP | Cross-lingual Contextualized Phrase Retrieval. | Huayang Li, Deng Cai, Zhi Qu, Qu Cui, Hidetaka Kamigaito, Lemao Liu, Taro Watanabe |
| 2024 | EMNLP | Simul-MuST-C: Simultaneous Multilingual Speech Translation Corpus Using Large Language Model. | Mana Makinae, Yusuke Sakai, Hidetaka Kamigaito, Taro Watanabe |
| 2024 | INLG | Generating Attractive Ad Text by Facilitating the Reuse of Landing Page Expressions. | Hidetaka Kamigaito, Soichiro Murakami, Peinan Zhang, Hiroya Takamura, Manabu Okumura |
| 2024 | NAACL | Does Pre-trained Language Model Actually Infer Unseen Links in Knowledge Graph Completion? | Yusuke Sakai, Hidetaka Kamigaito, Katsuhiko Hayashi, Taro Watanabe |
| 2024 | PACLIC | Do LLMs Implicitly Determine the Suitable Text Difficulty for Users? | Seiji Gobara, Hidetaka Kamigaito, Taro Watanabe |
| 2024 | SIGIR | Grasping Both Query Relevance and Essential Content for Query-focused Summarization. | Ye Xiong, Hidetaka Kamigaito, Soichiro Murakami, Peinan Zhang, Hiroya Takamura, Manabu Okumura |
| 2023 | ACL | Table and Image Generation for Investigating Knowledge of Entities in Pre-trained Vision and Language Models. | Hidetaka Kamigaito, Katsuhiko Hayashi, Taro Watanabe |
| 2023 | ACL | Bidirectional Transformer Reranker for Grammatical Error Correction. | Ying Zhang, Hidetaka Kamigaito, Manabu Okumura |
| 2023 | EACL | Abstractive Document Summarization with Summary-length Prediction. | Jingun Kwon, Hidetaka Kamigaito, Manabu Okumura |
| 2023 | EACL | Hierarchical Label Generation for Text Classification. | Jingun Kwon, Hidetaka Kamigaito, Young-In Song, Manabu Okumura |
| 2023 | EACL | Generative Replay Inspired by Hippocampal Memory Indexing for Continual Language Learning. | Aru Maekawa, Hidetaka Kamigaito, Kotaro Funakoshi, Manabu Okumura |
| 2023 | IJCNLP | Model-based Subsampling for Knowledge Graph Completion. | Xincan Feng, Hidetaka Kamigaito, Katsuhiko Hayashi, Taro Watanabe |
| 2022 | EMNLP | A Simple and Strong Baseline for End-to-End Neural RST-style Discourse Parsing. | Naoki Kobayashi, Tsutomu Hirao, Hidetaka Kamigaito, Manabu Okumura, Masaaki Nagata |
| 2022 | ICML | Comprehensive Analysis of Negative Sampling in Knowledge Graph Representation Learning. | Hidetaka Kamigaito, Katsuhiko Hayashi |
| 2022 | NAACL | Generating Repetitions with Appropriate Repeated Words. | Toshiki Kawamoto, Hidetaka Kamigaito, Kotaro Funakoshi, Manabu Okumura |
| 2022 | NAACL | Aspect-based Analysis of Advertising Appeals for Search Engine Advertising. | Soichiro Murakami, Peinan Zhang, Sho Hoshino, Hidetaka Kamigaito, Hiroya Takamura, Manabu Okumura |
| 2022 | NAACL | Joint Learning-based Heterogeneous Graph Attention Network for Timeline Summarization. | Jingyi You, Dongyuan Li, Hidetaka Kamigaito, Kotaro Funakoshi, Manabu Okumura |
| 2021 | ACL | Unified Interpretation of Softmax Cross-Entropy and Negative Sampling: With Case Study for Knowledge Graph Embedding. | Hidetaka Kamigaito, Katsuhiko Hayashi |
| 2021 | ACL | Towards Table-to-Text Generation with Numerical Reasoning. | Lya Hulliyyatus Suadaa, Hidetaka Kamigaito, Kotaro Funakoshi, Manabu Okumura, Hiroya Takamura |
| 2021 | ACL | Fusing Label Embedding into BERT: An Efficient Improvement for Text Classification. | Yijin Xiong, Yukun Feng, Hao Wu, Hidetaka Kamigaito, Manabu Okumura |
| 2021 | CIKM | Robust Dynamic Clustering for Temporal Networks. | Jingyi You, Chenlong Hu, Hidetaka Kamigaito, Kotaro Funakoshi, Manabu Okumura |
| 2021 | EACL | One-class Text Classification with Multi-modal Deep Support Vector Data Description. | Chenlong Hu, Yukun Feng, Hidetaka Kamigaito, Hiroya Takamura, Manabu Okumura |
| 2021 | EACL | A New Surprise Measure for Extracting Interesting Relationships between Persons. | Hidetaka Kamigaito, Jingun Kwon, Young-In Song, Manabu Okumura |
| 2021 | EACL | Generating Weather Comments from Meteorological Simulations. | Soichiro Murakami, Sora Tanaka, Masatsugu Hangyo, Hidetaka Kamigaito, Kotaro Funakoshi, Hiroya Takamura, Manabu Okumura |
| 2021 | EACL | Metric-Type Identification for Multi-Level Header Numerical Tables in Scientific Papers. | Lya Hulliyyatus Suadaa, Hidetaka Kamigaito, Manabu Okumura, Hiroya Takamura |
| 2021 | EMNLP | Considering Nested Tree Structure in Sentence Extractive Summarization with Pre-trained Transformer. | Jingun Kwon, Naoki Kobayashi, Hidetaka Kamigaito, Manabu Okumura |
| 2021 | EMNLP | A Language Model-based Generative Classifier for Sentence-level Discourse Parsing. | Ying Zhang, Hidetaka Kamigaito, Manabu Okumura |
| 2021 | NAACL | An Empirical Study of Generating Texts for Search Engine Advertising. | Hidetaka Kamigaito, Peinan Zhang, Hiroya Takamura, Manabu Okumura |
| 2021 | NAACL | Improving Neural RST Parsing Model with Silver Agreement Subtrees. | Naoki Kobayashi, Tsutomu Hirao, Hidetaka Kamigaito, Manabu Okumura, Masaaki Nagata |
| 2021 | RANLP | Character-based Thai Word Segmentation with Multiple Attentions. | Thodsaporn Chay-intr, Hidetaka Kamigaito, Manabu Okumura |
| 2021 | RANLP | Improving Character-Aware Neural Language Model by Warming up Character Encoder under Skip-gram Architecture. | Yukun Feng, Chenlong Hu, Hidetaka Kamigaito, Hiroya Takamura, Manabu Okumura |
| 2021 | RANLP | Making Your Tweets More Fancy: Emoji Insertion to Texts. | Jingun Kwon, Naoki Kobayashi, Hidetaka Kamigaito, Hiroya Takamura, Manabu Okumura |
| 2021 | RANLP | Abstractive Document Summarization with Word Embedding Reconstruction. | Jingyi You, Chenlong Hu, Hidetaka Kamigaito, Hiroya Takamura, Manabu Okumura |
| 2021 | RANLP | Generic Mechanism for Reducing Repetitions in Encoder-Decoder Models. | Ying Zhang, Hidetaka Kamigaito, Tatsuya Aoki, Hiroya Takamura, Manabu Okumura |
| 2020 | AAAI | Syntactically Look-Ahead Attention Network for Sentence Compression. | Hidetaka Kamigaito, Manabu Okumura |
| 2020 | AAAI | Top-Down RST Parsing Utilizing Granularity Levels in Documents. | Naoki Kobayashi, Tsutomu Hirao, Hidetaka Kamigaito, Manabu Okumura, Masaaki Nagata |
| 2020 | COLING | Pointing to Subwords for Generating Function Names in Source Code. | Shogo Fujita, Hidetaka Kamigaito, Hiroya Takamura, Manabu Okumura |
| 2020 | COLING | Neural text normalization leveraging similarities of strings and sounds. | Riku Kawamura, Tatsuya Aoki, Hidetaka Kamigaito, Hiroya Takamura, Manabu Okumura |
| 2020 | COLING | Hierarchical Trivia Fact Extraction from Wikipedia Articles. | Jingun Kwon, Hidetaka Kamigaito, Young-In Song, Manabu Okumura |
| 2020 | ECCV | SODA: Story Oriented Dense Video Captioning Evaluation Framework. | Soichiro Fujita, Tsutomu Hirao, Hidetaka Kamigaito, Manabu Okumura, Masaaki Nagata |
| 2020 | IJCNLP | A Simple and Effective Usage of Word Clusters for CBOW Model. | Yukun Feng, Chenlong Hu, Hidetaka Kamigaito, Hiroya Takamura, Manabu Okumura |
| 2019 | CoNLL | A Simple and Effective Method for Injecting Word-Level Information into Character-Aware Neural Language Models. | Yukun Feng, Hidetaka Kamigaito, Hiroya Takamura, Manabu Okumura |
| 2019 | EMNLP | Split or Merge: Which is Better for Unsupervised RST Parsing? | Naoki Kobayashi, Tsutomu Hirao, Kengo Nakamura, Hidetaka Kamigaito, Manabu Okumura, Masaaki Nagata |
| 2019 | RANLP | Discourse-Aware Hierarchical Attention Network for Extractive Single-Document Summarization. | Tatsuya Ishigaki, Hidetaka Kamigaito, Hiroya Takamura, Manabu Okumura |
| 2018 | ACL | An Empirical Study of Building a Strong Baseline for Constituency Parsing. | Jun Suzuki, Sho Takase, Hidetaka Kamigaito, Makoto Morishita, Masaaki Nagata |
| 2018 | EMNLP | Automatic Pyramid Evaluation Exploiting EDU-based Extractive Reference Summaries. | Tsutomu Hirao, Hidetaka Kamigaito, Masaaki Nagata |
| 2018 | NAACL | Higher-Order Syntactic Attention Network for Longer Sentence Compression. | Hidetaka Kamigaito, Katsuhiko Hayashi, Tsutomu Hirao, Masaaki Nagata |
| 2017 | IJCNLP | Supervised Attention for Sequence-to-Sequence Constituency Parsing. | Hidetaka Kamigaito, Katsuhiko Hayashi, Tsutomu Hirao, Hiroya Takamura, Manabu Okumura, Masaaki Nagata |
| 2016 | EMNLP | Unsupervised Word Alignment by Agreement Under ITG Constraint. | Hidetaka Kamigaito, Akihiro Tamura, Hiroya Takamura, Manabu Okumura, Eiichiro Sumita |
| 2015 | EMNLP | Hierarchical Back-off Modeling of Hiero Grammar based on Non-parametric Bayesian Model. | Hidetaka Kamigaito, Taro Watanabe, Hiroya Takamura, Manabu Okumura, Eiichiro Sumita |
| 2014 | EMNLP | Unsupervised Word Alignment Using Frequency Constraint in Posterior Regularized EM. | Hidetaka Kamigaito, Taro Watanabe, Hiroya Takamura, Manabu Okumura |
| 2012 | IIWAS | Style-based similarity search for office XML documents. | Yousuke Watanabe, Hidetaka Kamigaito, Haruo Yokota |