| 2026 | EACL | TimeMachine-bench: A Benchmark for Evaluating Model Capabilities in Repository-Level Migration Tasks. | Ryo Fujii, Makoto Morishita, Kazuki Yano, Jun Suzuki |
| 2026 | EACL | Suppressing Final Layer Hidden State Jumps in Transformer Pretraining. | Keigo Shibata, Kazuki Yano, Ryosuke Takahashi, Jaesung Lee, Wataru Ikeda, Jun Suzuki |
| 2026 | IUI | Vulnerability of LLM Outputs to Heuristics-Inducing Prompt Structures. | Toshiki Kuramoto, Ryohei Kamei, Jun Suzuki |
| 2025 | ACL | Can Input Attributions Explain Inductive Reasoning in In-Context Learning? | Mengyu Ye, Tatsuki Kuribayashi, Goro Kobayashi, Jun Suzuki |
| 2025 | COLING | Predicting Fine-tuned Performance on Larger Datasets Before Creating Them. | Toshiki Kuramoto, Jun Suzuki |
| 2025 | COLING | MQM-Chat: Multidimensional Quality Metrics for Chat Translation. | Yunmeng Li, Jun Suzuki, Makoto Morishita, Kaori Abe, Kentaro Inui |
| 2025 | COLING | Evaluating Model Alignment with Human Perception: A Study on Shitsukan in LLMs and LVLMs. | Daiki Shiono, Ana Brassard, Yukiko Ishizuki, Jun Suzuki |
| 2025 | CVPR | VDocRAG: Retrieval-Augmented Generation over Visually-Rich Documents. | Ryota Tanaka, Taichi Iki, Taku Hasegawa, Kyosuke Nishida, Kuniko Saito, Jun Suzuki |
| 2025 | EMNLP | Enhancing Persuasive Dialogue Agents by Synthesizing Cross-Disciplinary Communication Strategies. | Shinnosuke Nozue, Yuto Nakano, Yotaro Watanabe, Meguru Takasaki, Shoji Moriya, Reina Akama, Jun Suzuki |
| 2025 | ICLR | Drop-Upcycling: Training Sparse Mixture of Experts with Partial Re-initialization. | Taishi Nakamura, Takuya Akiba, Kazuki Fujii, Yusuke Oda, Rio Yokota, Jun Suzuki |
| 2025 | IJCNLP | AnaToM: A Dataset Generation Framework for Evaluating Theory of Mind Reasoning Toward the Anatomy of Difficulty through Structurally Controlled Story Generation. | Jun Suzuki, Ryoma Ishigaki, Eisaku Maeda |
| 2025 | NAACL | STEP: Staged Parameter-Efficient Pre-training for Large Language Models. | Kazuki Yano, Takumi Ito, Jun Suzuki |
| 2025 | PRICAI | Understanding Cross-Lingual Generalization of English-Centric LLMs: The Role of Representation Similarity and Data Exposure. | Suchun Xie, Shota Sasaki, Hwichan Kim, Yunmeng Li, Reina Akama, Jun Suzuki |
| 2025 | SIGdial | How Stylistic Similarity Shapes Preferences in Dialogue Dataset with User and Third Party Evaluations. | Ikumi Numaya, Shoji Moriya, Shiki Sato, Reina Akama, Jun Suzuki |
| 2024 | AAAI | InstructDoc: A Dataset for Zero-Shot Generalization of Visual Document Understanding with Instructions. | Ryota Tanaka, Taichi Iki, Kyosuke Nishida, Kuniko Saito, Jun Suzuki |
| 2024 | ACL | A Large Collection of Model-generated Contradictory Responses for Consistency-aware Dialogue Systems. | Shiki Sato, Reina Akama, Jun Suzuki, Kentaro Inui |
| 2024 | ACL | STEP: Staged Parameter-Efficient Pre-training for Large Language Models. | Kazuki Yano, Takumi Ito, Jun Suzuki |
| 2024 | EACL | The Impact of Integration Step on Integrated Gradients. | Masahiro Makino, Yuya Asazuma, Shota Sasaki, Jun Suzuki |
| 2024 | EMNLP | Pruning Multilingual Large Language Models for Multilingual Inference. | Hwichan Kim, Jun Suzuki, Tosho Hirasawa, Mamoru Komachi |
| 2024 | NAACL | Detecting Response Generation Not Requiring Factual Judgment. | Ryohei Kamei, Daiki Shiono, Reina Akama, Jun Suzuki |
| 2024 | WCNC | Radio Propagation Measurement in 38-GHz Band from Lower Stratosphere Actualizing HAPS Communication System. | Yuki Hokazono, Hinata Kohara, Yuto Muroki, Kenji Fukasawa, Yoshihisa Kishiyama, Jun Suzuki, Hiromu Kitanozono |
| 2023 | ACL | Hunt for Buried Treasures: Extracting Unclaimed Embodiments from Patent Specifications. | Chikara Hashimoto, Gautam Kumar, Shuichiro Hashimoto, Jun Suzuki |
| 2023 | ACL | B2T Connection: Serving Stability and Performance in Deep Transformers. | Sho Takase, Shun Kiyono, Sosuke Kobayashi, Jun Suzuki |
| 2023 | APSEC | Refactoring Programs Using Large Language Models with Few-Shot Examples. | Atsushi Shirafuji, Yusuke Oda, Jun Suzuki, Makoto Morishita, Yutaka Watanobe |
| 2023 | EMNLP | Investigating the Effectiveness of Multiple Expert Models Collaboration. | Ikumi Ito, Takumi Ito, Jun Suzuki, Kentaro Inui |
| 2023 | EMNLP | A Challenging Multimodal Video Summary: Simultaneously Extracting and Generating Keyframe-Caption Pairs from Video. | Keito Kudo, Haruki Nagasawa, Jun Suzuki, Nobuyuki Shimizu |
| 2023 | EMNLP | Assessing Step-by-Step Reasoning against Lexical Negation: A Case Study on Syllogism. | Mengyu Ye, Tatsuki Kuribayashi, Jun Suzuki, Goro Kobayashi, Hiroaki Funayama |
| 2023 | VTC | Transmission Experiments Using Delay Generator Actualizing Fixed Communication System for HAPS. | Yuki Hokazono, Hinata Kohara, Yuto Muroki, Kenji Fukasawa, Yoshihisa Kishiyama, Jun Suzuki, Hiromu Kitanozono |
| 2023 | UIST | Use of an AI-powered Rewriting Support Software in Context with Other Tools: A Study of Non-Native English Speakers. | Takumi Ito, Naomi Yamashita, Tatsuki Kuribayashi, Masatoshi Hidaka, Jun Suzuki, Ge Gao, Jack Jamieson, Kentaro Inui |
| 2022 | ACL | Scene-Text Aware Image and Text Retrieval with Dual-Encoder. | Shumpei Miyawaki, Taku Hasegawa, Kyosuke Nishida, Takuma Kato, Jun Suzuki |
| 2022 | AIED | Balancing Cost and Quality: An Exploration of Human-in-the-Loop Frameworks for Automated Short Answer Scoring. | Hiroaki Funayama, Tasuku Sato, Yuichiroh Matsubayashi, Tomoya Mizumoto, Jun Suzuki, Kentaro Inui |
| 2022 | COLING | Target-Guided Open-Domain Conversation Planning. | Yosuke Kishinami, Reina Akama, Shiki Sato, Ryoko Tokuhisa, Jun Suzuki, Kentaro Inui |
| 2022 | EMNLP | Domain Adaptation of Machine Translation with Crowdworkers. | Makoto Morishita, Jun Suzuki, Masaaki Nagata |
| 2022 | IJCNLP | Bipartite-play Dialogue Collection for Practical Automatic Evaluation of Dialogue Systems. | Shiki Sato, Yosuke Kishinami, Hiroaki Sugiyama, Reina Akama, Ryoko Tokuhisa, Jun Suzuki |
| 2022 | LREC | JParaCrawl v3.0: A Large-scale English-Japanese Parallel Corpus. | Makoto Morishita, Katsuki Chousa, Jun Suzuki, Masaaki Nagata |
| 2022 | SIGdial | N-best Response-based Analysis of Contradiction-awareness in Neural Response Generation Models. | Shiki Sato, Reina Akama, Hiroki Ouchi, Ryoko Tokuhisa, Jun Suzuki, Kentaro Inui |
| 2022 | SoMeT | Prompt Sensitivity of Language Model for Solving Programming Problems. | Atsushi Shirafuji, Takumi Ito, Makoto Morishita, Yuki Nakamura, Yusuke Oda, Jun Suzuki, Yutaka Watanobe |
| 2021 | EACL | Context-aware Neural Machine Translation with Mini-batch Embedding. | Makoto Morishita, Jun Suzuki, Tomoharu Iwata, Masaaki Nagata |
| 2021 | EMNLP | SHAPE : Shifted Absolute Position Embedding for Transformers. | Shun Kiyono, Sosuke Kobayashi, Jun Suzuki, Kentaro Inui |
| 2020 | ACL | Preventing Critical Scoring Errors in Short Answer Scoring with Confidence Estimation. | Hiroaki Funayama, Shota Sasaki, Yuichiroh Matsubayashi, Tomoya Mizumoto, Jun Suzuki, Masato Mita, Kentaro Inui |
| 2020 | ACL | Encoder-Decoder Models Can Benefit from Pre-trained Masked Language Models in Grammatical Error Correction. | Masahiro Kaneko, Masato Mita, Shun Kiyono, Jun Suzuki, Kentaro Inui |
| 2020 | ACL | Embeddings of Label Components for Sequence Labeling: A Case Study of Fine-grained Named Entity Recognition. | Takuma Kato, Kaori Abe, Hiroki Ouchi, Shumpei Miyawaki, Jun Suzuki, Kentaro Inui |
| 2020 | ACL | Language Models as an Alternative Evaluator of Word Order Hypotheses: A Case Study in Japanese. | Tatsuki Kuribayashi, Takumi Ito, Jun Suzuki, Kentaro Inui |
| 2020 | ACL | Single Model Ensemble using Pseudo-Tags and Distinct Vectors. | Ryosuke Kuwabara, Jun Suzuki, Hideki Nakayama |
| 2020 | ACL | Instance-Based Learning of Span Representations: A Case Study through Named Entity Recognition. | Hiroki Ouchi, Jun Suzuki, Sosuke Kobayashi, Sho Yokoi, Tatsuki Kuribayashi, Ryuto Konno, Kentaro Inui |
| 2020 | ACL | Evaluating Dialogue Generation Systems via Response Selection. | Shiki Sato, Reina Akama, Hiroki Ouchi, Jun Suzuki, Kentaro Inui |
| 2020 | COLING | PheMT: A Phenomenon-wise Dataset for Machine Translation Robustness on User-Generated Contents. | Ryo Fujii, Masato Mita, Kaori Abe, Kazuaki Hanawa, Makoto Morishita, Jun Suzuki, Kentaro Inui |
| 2020 | EMNLP | Filtering Noisy Dialogue Corpora by Connectivity and Content Relatedness. | Reina Akama, Sho Yokoi, Jun Suzuki, Kentaro Inui |
| 2020 | EMNLP | Langsmith: An Interactive Academic Text Revision System. | Takumi Ito, Tatsuki Kuribayashi, Masatoshi Hidaka, Jun Suzuki, Kentaro Inui |
| 2020 | EMNLP | Efficient Estimation of Influence of a Training Instance. | Sosuke Kobayashi, Sho Yokoi, Jun Suzuki, Kentaro Inui |
| 2020 | EMNLP | A Self-Refinement Strategy for Noise Reduction in Grammatical Error Correction. | Masato Mita, Shun Kiyono, Masahiro Kaneko, Jun Suzuki, Kentaro Inui |
| 2020 | EMNLP | Word Rotator's Distance. | Sho Yokoi, Ryo Takahashi, Reina Akama, Jun Suzuki, Kentaro Inui |
| 2020 | LREC | JParaCrawl: A Large Scale Web-Based English-Japanese Parallel Corpus. | Makoto Morishita, Jun Suzuki, Masaaki Nagata |
| 2019 | AAAI | Mixture of Expert/Imitator Networks: Scalable Semi-Supervised Learning Framework. | Shun Kiyono, Jun Suzuki, Kentaro Inui |
| 2019 | AAAI | Character n-Gram Embeddings to Improve RNN Language Models. | Sho Takase, Jun Suzuki, Masaaki Nagata |
| 2019 | ACL | An Empirical Study of Span Representations in Argumentation Structure Parsing. | Tatsuki Kuribayashi, Hiroki Ouchi, Naoya Inoue, Paul Reisert, Toshinori Miyoshi, Jun Suzuki, Kentaro Inui |
| 2019 | ACL | Effective Adversarial Regularization for Neural Machine Translation. | Motoki Sato, Jun Suzuki, Shun Kiyono |
| 2019 | EMNLP | TEASPN: Framework and Protocol for Integrated Writing Assistance Environments. | Masato Hagiwara, Takumi Ito, Tatsuki Kuribayashi, Jun Suzuki, Kentaro Inui |
| 2019 | EMNLP | An Empirical Study of Incorporating Pseudo Data into Grammatical Error Correction. | Shun Kiyono, Jun Suzuki, Masato Mita, Tomoya Mizumoto, Kentaro Inui |
| 2019 | EMNLP | Transductive Learning of Neural Language Models for Syntactic and Semantic Analysis. | Hiroki Ouchi, Jun Suzuki, Kentaro Inui |
| 2019 | EMNLP | Select and Attend: Towards Controllable Content Selection in Text Generation. | Xiaoyu Shen, Jun Suzuki, Kentaro Inui, Hui Su, Dietrich Klakow, Satoshi Sekine |
| 2019 | INLG | Diamonds in the Rough: Generating Fluent Sentences from Early-Stage Drafts for Academic Writing Assistance. | Takumi Ito, Tatsuki Kuribayashi, Hayato Kobayashi, Ana Brassard, Masato Hagiwara, Jun Suzuki, Kentaro Inui |
| 2019 | NAACL | Subword-based Compact Reconstruction of Word Embeddings. | Shota Sasaki, Jun Suzuki, Kentaro Inui |
| 2018 | ACL | An Empirical Study of Building a Strong Baseline for Constituency Parsing. | Jun Suzuki, Sho Takase, Hidetaka Kamigaito, Makoto Morishita, Masaaki Nagata |
| 2018 | COLING | Improving Neural Machine Translation by Incorporating Hierarchical Subword Features. | Makoto Morishita, Jun Suzuki, Masaaki Nagata |
| 2018 | EMNLP | Unsupervised Token-wise Alignment to Improve Interpretation of Encoder-Decoder Models. | Shun Kiyono, Sho Takase, Jun Suzuki, Naoaki Okazaki, Kentaro Inui, Masaaki Nagata |
| 2018 | EMNLP | Direct Output Connection for a High-Rank Language Model. | Sho Takase, Jun Suzuki, Masaaki Nagata |
| 2018 | EMNLP | Pointwise HSIC: A Linear-Time Kernelized Co-occurrence Norm for Sparse Linguistic Expressions. | Sho Yokoi, Sosuke Kobayashi, Kenji Fukumizu, Jun Suzuki, Kentaro Inui |
| 2018 | IJCAI | Interpretable Adversarial Perturbation in Input Embedding Space for Text. | Motoki Sato, Jun Suzuki, Hiroyuki Shindo, Yuji Matsumoto |
| 2018 | PACLIC | Reducing Odd Generation from Neural Headline Generation. | Shun Kiyono, Sho Takase, Jun Suzuki, Naoaki Okazaki, Kentaro Inui, Masaaki Nagata |
| 2017 | EACL | Enumeration of Extractive Oracle Summaries. | Tsutomu Hirao, Masaaki Nishino, Jun Suzuki, Masaaki Nagata |
| 2017 | EACL | Cutting-off Redundant Repeating Generations for Neural Abstractive Summarization. | Jun Suzuki, Masaaki Nagata |
| 2017 | IJCAI | Deep Reinforcement Learning with Hidden Layers on Future States. | Hirotaka Kameko, Jun Suzuki, Naoki Mizukami, Yoshimasa Tsuruoka |
| 2017 | IJCNLP | Improving Neural Text Normalization with Data Augmentation at Character- and Morphological Levels. | Itsumi Saito, Jun Suzuki, Kyosuke Nishida, Kugatsu Sadamitsu, Satoshi Kobashikawa, Ryo Masumura, Yuji Matsumoto, Junji Tomita |
| 2017 | IJCNLP | Input-to-Output Gate to Improve RNN Language Models. | Sho Takase, Jun Suzuki, Masaaki Nagata |
| 2016 | ACL | Phrase Table Pruning via Submodular Function Maximization. | Masaaki Nishino, Jun Suzuki, Masaaki Nagata |
| 2016 | CloudCom | Device-Level IoT with Virtual I/O Device Interconnection. | Jun Suzuki, Akira Tsuji, Yuki Hayashi, Masaki Kan, Shinya Miyakawa |
| 2016 | COMPSAC | Message from the BIOT Workshop Organizers. | Hideya Ochiai, Kurt Geihs, Susumu Takeuchi, Jun Suzuki |
| 2016 | EMNLP | Neural Headline Generation on Abstract Meaning Representation. | Sho Takase, Jun Suzuki, Naoaki Okazaki, Tsutomu Hirao, Masaaki Nagata |
| 2016 | IJCAI | Learning Compact Neural Word Embeddings by Parameter Space Sharing. | Jun Suzuki, Masaaki Nagata |
| 2016 | NAACL | Right-truncatable Neural Word Embeddings. | Jun Suzuki, Masaaki Nagata |
| 2015 | ACL | A Unified Learning Framework of Skip-Grams and Global Vectors. | Jun Suzuki, Masaaki Nagata |
| 2014 | AAAI | Fused Feature Representation Discovery for High-Dimensional and Sparse Data. | Jun Suzuki, Masaaki Nagata |
| 2014 | EMNLP | Dependency-based Discourse Parser for Single-Document Summarization. | Yasuhisa Yoshida, Jun Suzuki, Tsutomu Hirao, Masaaki Nagata |
| 2014 | HOTI | End-to-End Adaptive Packet Aggregation for High-Throughput I/O Bus Network Using Ethernet. | Jun Suzuki, Yuki Hayashi, Masaki Kan, Shinya Miyakawa, Takashi Yoshikawa |
| 2014 | Interspeech | Restructuring output layers of deep neural networks using minimum risk parameter clustering. | Yotaro Kubo, Jun Suzuki, Takaaki Hori, Atsushi Nakamura |
| 2014 | VLDB | Record Placement Based on Data Skew Using Solid State Drives. | Jun Suzuki, Shivaram Venkataraman, Sameer Agarwal, Michael J. Franklin, Ion Stoica |
| 2013 | ACL | Supervised Model Learning with Feature Grouping based on a Discrete Constraint. | Jun Suzuki, Masaaki Nagata |
| 2013 | ECIR | Text Summarization while Maximizing Multiple Objectives with Lagrangian Relaxation. | Masaaki Nishino, Norihito Yasuda, Tsutomu Hirao, Jun Suzuki, Masaaki Nagata |
| 2013 | EMNLP | Shift-Reduce Word Reordering for Machine Translation. | Katsuhiko Hayashi, Katsuhito Sudoh, Hajime Tsukada, Jun Suzuki, Masaaki Nagata |
| 2011 | ACL | Learning Condensed Feature Representations from Large Unsupervised Data Sets for Supervised Learning. | Jun Suzuki, Hideki Isozaki, Masaaki Nagata |
| 2011 | IJCNLP | Distributed Minimum Error Rate Training of SMT using Particle Swarm Optimization. | Jun Suzuki, Kevin Duh, Masaaki Nagata |
| 2010 | AINA | Improvement and its Evaluation of Worker's Motion Monitor System in Automobile Assembly Factory. | Nobuyoshi Sato, Toshihiro Takahashi, Akira Tajima, Shouichi Odashima, Jun Suzuki, Taiji Ishikawa, Yoshitoshi Murata |
| 2010 | HOTI | Multi-root Share of Single-Root I/O Virtualization (SR-IOV) Compliant PCI Express Device. | Jun Suzuki, Yoichi Hidaka, Junichi Higuchi, Teruyuki Baba, Nobuharu Kami, Takashi Yoshikawa |
| 2009 | ACL | A Syntax-Free Approach to Japanese Sentence Compression. | Tsutomu Hirao, Jun Suzuki, Hideki Isozaki |
| 2009 | AINA | A Trial of a Worker's Motion Trace System Using Terrestrial Magnetism and Acceleration Sensors. | Nobuyoshi Sato, Shouichi Odashima, Jun Suzuki, Taiji Ishikawa, Yoshitoshi Murata |
| 2009 | EMNLP | An Empirical Study of Semi-supervised Structured Conditional Models for Dependency Parsing. | Jun Suzuki, Hideki Isozaki, Xavier Carreras, Michael Collins |
| 2008 | ACL | Semi-Supervised Sequential Labeling and Segmentation Using Giga-Word Scale Unlabeled Data. | Jun Suzuki, Hideki Isozaki |
| 2008 | IJCNLP | Multi-label Text Categorization with Model Combination based on F1-score Maximization. | Akinori Fujino, Hideki Isozaki, Jun Suzuki |
| 2007 | EMNLP | Semi-Supervised Structured Output Learning Based on a Hybrid Generative and Discriminative Approach. | Jun Suzuki, Akinori Fujino, Hideki Isozaki |
| 2007 | EMNLP | Online Large-Margin Training for Statistical Machine Translation. | Taro Watanabe, Jun Suzuki, Hajime Tsukada, Hideki Isozaki |
| 2007 | NCA | Multilayer In-service Reconfiguration for Network Computing Systems. | Nobuharu Kami, Jun Suzuki, Yoichi Hidaka, Takashi Yoshikawa, Atsushi Iwata |
| 2006 | ACL | Training Conditional Random Fields with Multivariate Evaluation Measures. | Jun Suzuki, Erik McDermott, Hideki Isozaki |
| 2006 | HOTI | ExpressEther - Ethernet-Based Virtualization Technology for Reconfigurable Hardware Platform. | Jun Suzuki, Yoichi Hidaka, Junichi Higuchi, Takashi Yoshikawa, Atsushi Iwata |
| 2005 | ACL | Boosting-based Parse Reranking with Subtree Features. | Taku Kudo, Jun Suzuki, Hideki Isozaki |
| 2004 | ACL | Convolution Kernels with Feature Selection for Natural Language Processing Tasks. | Jun Suzuki, Hideki Isozaki, Eisaku Maeda |
| 2004 | COLING | Dependency-based Sentence Alignment for Multiple Document Summarization. | Tsutomu Hirao, Jun Suzuki, Hideki Isozaki, Eisaku Maeda |
| 2003 | ACL | Hierarchical Directed Acyclic Graph Kernel: Methods for Structured Natural Language Data. | Jun Suzuki, Tsutomu Hirao, Yutaka Sasaki, Eisaku Maeda |
| 2002 | COLING | SVM Answer Selection for Open-Domain Question Answering. | Jun Suzuki, Yutaka Sasaki, Eisaku Maeda |