| 2026 | EACL | Improving Chain-of-Thought for Logical Reasoning via Attention-Aware Intervention. | Phuong Minh Nguyen, Dang Huu-Tien, Naoya Inoue |
| 2026 | EACL | On the Additive Compositionality of Task Vectors in Vision-Language Models. | Yuting Shi, Houjing Wei, Naoya Inoue |
| 2025 | AAAI | On Effects of Steering Latent Representation for Large Language Model Unlearning. | Huu-Tien Dang, Tin Pham, Hoang Thanh-Tung, Naoya Inoue |
| 2025 | COLING | Understanding Token Probability Encoding in Output Embeddings. | Hakaze Cho, Yoshihiro Sakai, Kenshiro Tanaka, Mariko Kato, Naoya Inoue |
| 2025 | EMNLP | The Transfer Neurons Hypothesis: An Underlying Mechanism for Language Latent Space Transitions in Multilingual LLMs. | Hinata Tezuka, Naoya Inoue |
| 2025 | EMNLP | Identification of Multiple Logical Interpretations in Counter-Arguments. | Wenzhi Wang, Paul Reisert, Shoichi Naito, Naoya Inoue, Machi Shimmei, Surawat Pothong, Jungmin Choi, Kentaro Inui |
| 2025 | ICISSP | CyLLM-DAP: Cybersecurity Domain-Adaptive Pre-Training Framework of Large Language Models. | Khang Mai, Razvan Beuran, Naoya Inoue |
| 2025 | ICLR | Revisiting In-context Learning Inference Circuit in Large Language Models. | Hakaze Cho, Mariko Kato, Yoshihiro Sakai, Naoya Inoue |
| 2025 | IJCNLP | Fine-grained Confidence Estimation for Spurious Correctness Detection in Large Language Models. | Ai Ishii, Naoya Inoue, Hisami Suzuki, Satoshi Sekine |
| 2025 | IJCNLP | FOCUS: A Benchmark for Targeted Socratic Question Generation via Source-Span Grounding. | Surawat Pothong, Machi Shimmei, Naoya Inoue, Paul Reisert, Ana Brassard, Wenzhi Wang, Shoichi Naito, Jungmin Choi, Kentaro Inui |
| 2025 | NAACL | Token-based Decision Criteria Are Suboptimal in In-context Learning. | Hakaze Cho, Yoshihiro Sakai, Mariko Kato, Kenshiro Tanaka, Akira Ishii, Naoya Inoue |
| 2025 | NAACL | LLM DEBATE OPPONENT : Counter-argument Generation focusing on Implicit and Critical Premises. | Taisei Ozaki, Chihiro Nakagawa, Naoya Inoue, Shoichi Naito, Kenshi Yamaguchi |
| 2025 | NLDB | Improve Smart Contract Vulnerability Explanation with Synthetic Data and Chain-of-Thought Prompting. | Nguyen Le Minh, Naoya Inoue, Le-Minh Nguyen |
| 2025 | PACLIC | Non-Interactive Symbolic-Aided Chain-of-Thought for Logical Reasoning. | Phuong Minh Nguyen, Tien Dang, Naoya Inoue |
| 2024 | COLING | JEMHopQA: Dataset for Japanese Explainable Multi-Hop Question Answering. | Ai Ishii, Naoya Inoue, Hisami Suzuki, Satoshi Sekine |
| 2024 | COLING | Find-the-Common: A Benchmark for Explaining Visual Patterns from Images. | Yuting Shi, Naoya Inoue, Houjing Wei, Yufeng Zhao, Tao Jin |
| 2024 | EACL | Arukikata Travelogue Dataset with Geographic Entity Mention, Coreference, and Link Annotation. | Shohei Higashiyama, Hiroki Ouchi, Hiroki Teranishi, Hiroyuki Otomo, Yusuke Ide, Aitaro Yamamoto, Hiroyuki Shindo, Yuki Matsuda, Shoko Wakamiya, Naoya Inoue, Ikuya Yamada, Taro Watanabe |
| 2024 | EMNLP | Designing Logic Pattern Templates for Counter-Argument Logical Structure Analysis. | Shoichi Naito, Wenzhi Wang, Paul Reisert, Naoya Inoue, Camlia Guerraoui, Kenshi Yamaguchi, Jungmin Choi, Irfan Robbani, Surawat Pothong, Kentaro Inui |
| 2024 | EMNLP | Flee the Flaw: Annotating the Underlying Logic of Fallacious Arguments Through Templates and Slot-filling. | Irfan Robbani, Paul Reisert, Surawat Pothong, Naoya Inoue, Camlia Guerraoui, Wenzhi Wang, Shoichi Naito, Jungmin Choi, Kentaro Inui |
| 2024 | PACLIC | A Viewpoints Embedded Diff-table System For Cross-sectional Insight Survey In a Research Task. | Jinghong Li, Naoya Inoue, Shinobu Hasegawa |
| 2023 | EMNLP | Discovering Highly Influential Shortcut Reasoning: An Automated Template-Free Approach. | Daichi Haraguchi, Kiyoaki Shirai, Naoya Inoue, Natthawut Kertkeidkachorn |
| 2023 | PACLIC | Counterfactual Adversarial Training for Improving Robustness of Pre-trained Language Models. | Hoai Linh Luu, Naoya Inoue |
| 2022 | ACL | Learning and Evaluating Character Representations in Novels. | Naoya Inoue, Charuta Pethe, Allen Kim, Steven Skiena |
| 2022 | LREC | LPAttack: A Feasible Annotation Scheme for Capturing Logic Pattern of Attacks in Arguments. | Farjana Sultana Mim, Naoya Inoue, Shoichi Naito, Keshav Singh, Kentaro Inui |
| 2022 | LREC | TYPIC: A Corpus of Template-Based Diagnostic Comments on Argumentation. | Shoichi Naito, Shintaro Sawada, Chihiro Nakagawa, Naoya Inoue, Kenshi Yamaguchi, Iori Shimizu, Farjana Sultana Mim, Keshav Singh, Kentaro Inui |
| 2022 | LREC | IRAC: A Domain-Specific Annotated Corpus of Implicit Reasoning in Arguments. | Keshav Singh, Naoya Inoue, Farjana Sultana Mim, Shoichi Naitoh, Kentaro Inui |
| 2021 | EACL | Two Training Strategies for Improving Relation Extraction over Universal Graph. | Qin Dai, Naoya Inoue, Ryo Takahashi, Kentaro Inui |
| 2021 | EMNLP | Summarize-then-Answer: Generating Concise Explanations for Multi-hop Reading Comprehension. | Naoya Inoue, Harsh Trivedi, Steven Sinha, Niranjan Balasubramanian, Kentaro Inui |
| 2021 | EMNLP | Cleaning Dirty Books: Post-OCR Processing for Previously Scanned Texts. | Allen Kim, Charuta Pethe, Naoya Inoue, Steven Skiena |
| 2020 | ACL | R4C: A Benchmark for Evaluating RC Systems to Get the Right Answer for the Right Reason. | Naoya Inoue, Pontus Stenetorp, Kentaro Inui |
| 2020 | COLING | Modeling Event Salience in Narratives via Barthes' Cardinal Functions. | Takaki Otake, Sho Yokoi, Naoya Inoue, Ryo Takahashi, Tatsuki Kuribayashi, Kentaro Inui |
| 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 | Unsupervised Learning of Discourse-Aware Text Representation for Essay Scoring. | Farjana Sultana Mim, Naoya Inoue, Paul Reisert, Hiroki Ouchi, Kentaro Inui |
| 2019 | AIED | An Annotation Protocol for Collecting User-Generated Counter-Arguments Using Crowdsourcing. | Paul Reisert, Gisela Vallejo, Naoya Inoue, Iryna Gurevych, Kentaro Inui |
| 2018 | PACLIC | Improving Scientific Relation Classification with Task Specific Supersense. | Qin Dai, Naoya Inoue, Paul Reisert, Kentaro Inui |
| 2017 | EACL | An RNN-based Binary Classifier for the Story Cloze Test. | Melissa Roemmele, Sosuke Kobayashi, Naoya Inoue, Andrew Gordon |
| 2017 | FlAIRS | A Scalable Weighted Max-SAT Implementation of Propositional Etcetera Abduction. | Naoya Inoue, Andrew S. Gordon |
| 2017 | IJCNLP | Generating Stylistically Consistent Dialog Responses with Transfer Learning. | Reina Akama, Kazuaki Inada, Naoya Inoue, Sosuke Kobayashi, Kentaro Inui |
| 2016 | COLING | Modeling Context-sensitive Selectional Preference with Distributed Representations. | Naoya Inoue, Yuichiroh Matsubayashi, Masayuki Ono, Naoaki Okazaki, Kentaro Inui |
| 2015 | NAACL | A Computational Approach for Generating Toulmin Model Argumentation. | Paul Reisert, Naoya Inoue, Naoaki Okazaki, Kentaro Inui |
| 2014 | PACLIC | An Example-Based Approach to Difficult Pronoun Resolution. | Canasai Kruengkrai, Naoya Inoue, Jun Sugiura, Kentaro Inui |
| 2013 | CICLING | Discriminative Learning of First-Order Weighted Abduction from Partial Discourse Explanations. | Kazeto Yamamoto, Naoya Inoue, Yotaro Watanabe, Naoaki Okazaki, Kentaro Inui |
| 2013 | LPNMR | Recognizing Implicit Discourse Relations through Abductive Reasoning with Large-scale Lexical Knowledge. | Jun Sugiura, Naoya Inoue, Kentaro Inui |
| 2012 | COLING | Coreference Resolution with ILP-based Weighted Abduction. | Naoya Inoue, Ekaterina Ovchinnikova, Kentaro Inui, Jerry R. Hobbs |
| 2012 | JELIA | Large-Scale Cost-Based Abduction in Full-Fledged First-Order Predicate Logic with Cutting Plane Inference. | Naoya Inoue, Kentaro Inui |
| 2012 | SSPR | Simultaneous Learning of Localized Multiple Kernels and Classifier with Weighted Regularization. | Naoya Inoue, Yukihiko Yamashita |
| 2011 | AAAI | ILP-Based Reasoning for Weighted Abduction. | Naoya Inoue, Kentaro Inui |
| 2011 | ICRA | Selective injection and laser manipulation of nanotool inside a specific cell using Optical pH regulation and optical tweezers. | Hisataka Maruyama, Naoya Inoue, Taisuke Masuda, Fumihito Arai |
| 2008 | ICPR | Numerical analysis of Mahalanobis metric in vector space. | Joken Son, Naoya Inoue, Yukihiko Yamashita |
| 2006 | SSPR | Maxwell Normal Distribution in a Manifold and Mahalanobis Metric. | Yukihiko Yamashita, Mariko Numakami, Naoya Inoue |