| 2026 | ACL | Fine-Grained Analysis of Shared Syntactic Mechanisms in Language Models. | Ryoma Kumon, Hitomi Yanaka |
| 2026 | ACL | What Do Vision-Language Models Encode for Personalized Image Aesthetics Assessment? | Koki Ryu, Hitomi Yanaka |
| 2026 | ACL | Analysis of the Neglect-Zero Effect in Large Language Models. | Jin Tanaka, Daiki Matsuoka, Ryoma Kumon, Hitomi Yanaka |
| 2026 | ACL | Evaluation of Multilingual Ability to Use Spatial Deictic Expressions in Vision-Language Models. | Kaito Watanabe, Taisei Yamamoto, Tomoki Doi, Hitomi Yanaka |
| 2026 | ACL | Code-Switching Information Retrieval: Benchmarks, Analysis, and the Limits of Current Retrievers. | Qingcheng Zeng, Yuheng Lu, Zeqi Zhou, Heli Qi, Puxuan Yu, Fuheng Zhao, Hitomi Yanaka, Weihao Xuan, Naoto Yokoya |
| 2026 | EACL | NeuronMoE: Efficient Cross-Lingual Extension via Neuron-Guided Mixture-of-Experts. | Rongzhi Li, Hitomi Yanaka |
| 2026 | LREC | J-CHAT: Japanese Large-scale Spoken Dialogue Corpus for Spoken Dialogue Language Modeling. | Wataru Nakata, Kentaro Seki, Hitomi Yanaka, Yuki Saito, Shinnosuke Takamichi, Hiroshi Saruwatari |
| 2026 | LREC | Seeing the Other Side: Diagnostic Tasks for Viewpoint Reasoning in Vision-Language Models. | Makoto Takenaka, Hitomi Yanaka |
| 2026 | LREC | Developing a Guideline for the Labovian-Structural Analysis of Oral Narratives in Japanese. | Amane Watahiki, Tomoki Doi, Akari Kikuchi, Hiroshi Ohata, Yuki I. Nakata, Takuya Niikawa, Taiga Shinozaki, Hitomi Yanaka |
| 2025 | CogSci | Do Large Vision-Language Models Distinguish between the Actual and Apparent Features of Illusions? | Taiga Shinozaki, Tomoki Doi, Amane Watahiki, Satoshi Nishida, Hitomi Yanaka |
| 2025 | CogSci | Bridging Perception and Language: A Systematic Benchmark for LVLMs' Understanding of Amodal Completion Reports. | Amane Watahiki, Tomoki Doi, Taiga Shinozaki, Satoshi Nishida, Takuya Niikawa, Katsunori Miyahara, Hitomi Yanaka |
| 2025 | EMNLP | Bias Mitigation or Cultural Commonsense? Evaluating LLMs with a Japanese Dataset. | Taisei Yamamoto, Ryoma Kumon, Danushka Bollegala, Hitomi Yanaka |
| 2025 | IJCNLP | Interpreting Multi-Attribute Confounding through Numerical Attributes in Large Language Models. | Hirohane Takagi, Gouki Minegishi, Shota Kizawa, Issey Sukeda, Hitomi Yanaka |
| 2025 | NAACL | Analyzing the Inner Workings of Transformers in Compositional Generalization. | Ryoma Kumon, Hitomi Yanaka |
| 2024 | ACL | Topic Modeling for Short Texts with Large Language Models. | Tomoki Doi, Masaru Isonuma, Hitomi Yanaka |
| 2024 | ACL | Action Inference for Destination Prediction in Vision-and-Language Navigation. | Anirudh Reddy Kondapally, Kentaro Yamada, Hitomi Yanaka |
| 2024 | ACL | Evaluating Structural Generalization in Neural Machine Translation. | Ryoma Kumon, Daiki Matsuoka, Hitomi Yanaka |
| 2024 | COLING | Visual-Textual Entailment with Quantities Using Model Checking and Knowledge Injection. | Nobuyuki Iokawa, Hitomi Yanaka |
| 2024 | EACL | GesNavi: Gesture-guided Outdoor Vision-and-Language Navigation. | Aman Jain, Teruhisa Misu, Kentaro Yamada, Hitomi Yanaka |
| 2024 | EACL | Reforging : A Method for Constructing a Linguistically Valid Japanese CCG Treebank. | Asa Tomita, Hitomi Yanaka, Daisuke Bekki |
| 2024 | EMNLP | Exploring Intra and Inter-language Consistency in Embeddings with ICA. | Rongzhi Li, Takeru Matsuda, Hitomi Yanaka |
| 2024 | NAACL | On the Multilingual Ability of Decoder-based Pre-trained Language Models: Finding and Controlling Language-Specific Neurons. | Takeshi Kojima, Itsuki Okimura, Yusuke Iwasawa, Hitomi Yanaka, Yutaka Matsuo |
| 2023 | ACL | Constructing Multilingual Code Search Dataset Using Neural Machine Translation. | Ryo Sekizawa, Nan Duan, Shuai Lu, Hitomi Yanaka |
| 2023 | ACL | Jamp: Controlled Japanese Temporal Inference Dataset for Evaluating Generalization Capacity of Language Models. | Tomoki Sugimoto, Yasumasa Onoe, Hitomi Yanaka |
| 2022 | ACL | Logical Inference for Counting on Semi-structured Tables. | Tomoya Kurosawa, Hitomi Yanaka |
| 2022 | ACL | Compositional Semantics and Inference System for Temporal Order based on Japanese CCG. | Tomoki Sugimoto, Hitomi Yanaka |
| 2021 | ACL | Do Grammatical Error Correction Models Realize Grammatical Generalization? | Masato Mita, Hitomi Yanaka |
| 2021 | ACL | SyGNS: A Systematic Generalization Testbed Based on Natural Language Semantics. | Hitomi Yanaka, Koji Mineshima, Kentaro Inui |
| 2021 | EACL | Exploring Transitivity in Neural NLI Models through Veridicality. | Hitomi Yanaka, Koji Mineshima, Kentaro Inui |
| 2020 | ACL | Do Neural Models Learn Systematicity of Monotonicity Inference in Natural Language? | Hitomi Yanaka, Koji Mineshima, Daisuke Bekki, Kentaro Inui |
| 2019 | ACL | Multimodal Logical Inference System for Visual-Textual Entailment. | Riko Suzuki, Hitomi Yanaka, Masashi Yoshikawa, Koji Mineshima, Daisuke Bekki |
| 2018 | INLG | Neural sentence generation from formal semantics. | Kana Manome, Masashi Yoshikawa, Hitomi Yanaka, Pascual Martnez-Gmez, Koji Mineshima, Daisuke Bekki |
| 2018 | NAACL | Acquisition of Phrase Correspondences Using Natural Deduction Proofs. | Hitomi Yanaka, Koji Mineshima, Pascual Martnez-Gmez, Daisuke Bekki |
| 2017 | EMNLP | Determining Semantic Textual Similarity using Natural Deduction Proofs. | Hitomi Yanaka, Koji Mineshima, Pascual Martnez-Gmez, Daisuke Bekki |
| 2016 | FedCSIS | Clustering Documents on Case Vectors Represented by Predicate-argument Structures - Applied for Eliciting Technological Problems from Patents. | Hitomi Yanaka, Yukio Ohsawa |