Clustering Documents on Case Vectors Represented by Predicate-argument Structures - Applied for Eliciting Technological Problems from Patents. - Hitomi Yanaka; Yukio Ohsawa (FedCSIS, 2016)

Determining Semantic Textual Similarity using Natural Deduction Proofs. - Hitomi Yanaka; Koji Mineshima; Pascual Martínez-Gómez; Daisuke Bekki (EMNLP, 2017)

Neural sentence generation from formal semantics. - Kana Manome; Masashi Yoshikawa; Hitomi Yanaka; Pascual Martínez-Gómez; Koji Mineshima; Daisuke Bekki (INLG, 2018)

Acquisition of Phrase Correspondences Using Natural Deduction Proofs. - Hitomi Yanaka; Koji Mineshima; Pascual Martínez-Gómez; Daisuke Bekki (NAACL-HLT, 2018)

Multimodal Logical Inference System for Visual-Textual Entailment. - Riko Suzuki; Hitomi Yanaka; Masashi Yoshikawa; Koji Mineshima; Daisuke Bekki (ACL (2), 2019)

Can Neural Networks Understand Monotonicity Reasoning? - Hitomi Yanaka; Koji Mineshima; Daisuke Bekki; Kentaro Inui; Satoshi Sekine; Lasha Abzianidze; Johan Bos (BlackboxNLP@ACL, 2019)

HELP: A Dataset for Identifying Shortcomings of Neural Models in Monotonicity Reasoning. - Hitomi Yanaka; Koji Mineshima; Daisuke Bekki; Kentaro Inui; Satoshi Sekine; Lasha Abzianidze; Johan Bos (*SEM@NAACL-HLT, 2019)

Do Neural Models Learn Systematicity of Monotonicity Inference in Natural Language? - Hitomi Yanaka; Koji Mineshima; Daisuke Bekki; Kentaro Inui (ACL, 2020)

Do Grammatical Error Correction Models Realize Grammatical Generalization? - Masato Mita; Hitomi Yanaka (ACL/IJCNLP (Findings), 2021)

SyGNS: A Systematic Generalization Testbed Based on Natural Language Semantics. - Hitomi Yanaka; Koji Mineshima; Kentaro Inui (ACL/IJCNLP (Findings), 2021)

Assessing the Generalization Capacity of Pre-trained Language Models through Japanese Adversarial Natural Language Inference. - Hitomi Yanaka; Koji Mineshima (BlackboxNLP@EMNLP, 2021)

Exploring Transitivity in Neural NLI Models through Veridicality. - Hitomi Yanaka; Koji Mineshima; Kentaro Inui (EACL, 2021)

Building a Video-and-Language Dataset with Human Actions for Multimodal Logical Inference. - Riko Suzuki; Hitomi Yanaka; Koji Mineshima; Daisuke Bekki (CoRR, 2021)

Logical Inference for Counting on Semi-structured Tables. - Tomoya Kurosawa; Hitomi Yanaka (ACL (student), 2022)

Compositional Semantics and Inference System for Temporal Order based on Japanese CCG. - Tomoki Sugimoto; Hitomi Yanaka (ACL (student), 2022)

Compositional Evaluation on Japanese Textual Entailment and Similarity. - Hitomi Yanaka; Koji Mineshima (Trans. Assoc. Comput. Linguistics, 2022)

Knowledge Injection for Disease Names in Logical Inference between Japanese Clinical Texts. - Natsuki Murakami; Mana Ishida; Yuta Takahashi; Hitomi Yanaka; Daisuke Bekki (ClinicalNLP@ACL, 2023)

Medical Visual Textual Entailment for Numerical Understanding of Vision-and-Language Models. - Hitomi Yanaka; Yuta Nakamura; Yuki Chida; Tomoya Kurosawa (ClinicalNLP@ACL, 2023)

Constructing Multilingual Code Search Dataset Using Neural Machine Translation. - Ryo Sekizawa; Nan Duan; Shuai Lu; Hitomi Yanaka (ACL (student), 2023)

Jamp: Controlled Japanese Temporal Inference Dataset for Evaluating Generalization Capacity of Language Models. - Tomoki Sugimoto; Yasumasa Onoe; Hitomi Yanaka (ACL (student), 2023)

Appositive Projection as Implicit Context Extension in Dependent Type Semantics. - Daiki Matsuoka; Daisuke Bekki; Hitomi Yanaka (LENLS, 2023)

Does Character-level Information Always Improve DRS-based Semantic Parsing? - Tomoya Kurosawa; Hitomi Yanaka (*SEM@ACL, 2023)

Analyzing Syntactic Generalization Capacity of Pre-trained Language Models on Japanese Honorific Conversion. - Ryo Sekizawa; Hitomi Yanaka (*SEM@ACL, 2023)

Logic-Based Inference With Phrase Abduction Using Vision-and-Language Models. - Akiyoshi Tomihari; Hitomi Yanaka (IEEE Access, 2023)

Is Japanese CCGBank empirically correct? A case study of passive and causative constructions. - Daisuke Bekki; Hitomi Yanaka (CoRR, 2023)

A neuro-symbolic approach for multimodal reference expression comprehension. - Aman Jain; Anirudh Reddy Kondapally; Kentaro Yamada; Hitomi Yanaka (CoRR, 2023)

Topic Modeling for Short Texts with Large Language Models. - Tomoki Doi; Masaru Isonuma; Hitomi Yanaka (ACL (Student Research Workshop), 2024)

Action Inference for Destination Prediction in Vision-and-Language Navigation. - Anirudh Reddy Kondapally; Kentaro Yamada; Hitomi Yanaka (ACL (Student Research Workshop), 2024)

Evaluating Structural Generalization in Neural Machine Translation. - Ryoma Kumon; Daiki Matsuoka; Hitomi Yanaka (ACL (Findings), 2024)

Visual-Textual Entailment with Quantities Using Model Checking and Knowledge Injection. - Nobuyuki Iokawa; Hitomi Yanaka (LREC/COLING, 2024)

GesNavi: Gesture-guided Outdoor Vision-and-Language Navigation. - Aman Jain; Teruhisa Misu; Kentaro Yamada; Hitomi Yanaka (EACL (Student Research Workshop), 2024)

Reforging : A Method for Constructing a Linguistically Valid Japanese CCG Treebank. - Asa Tomita; Hitomi Yanaka; Daisuke Bekki (EACL (Student Research Workshop), 2024)

Exploring Intra and Inter-language Consistency in Embeddings with ICA. - Rongzhi Li; Takeru Matsuda; Hitomi Yanaka (EMNLP, 2024)

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 (NAACL-HLT, 2024)

Comprehensive Evaluation of Large Language Models for Topic Modeling. - Tomoki Doi; Masaru Isonuma; Hitomi Yanaka (CoRR, 2024)

Analyzing Social Biases in Japanese Large Language Models. - Hitomi Yanaka; Namgi Han; Ryoma Kumon; Jie Lu; Masashi Takeshita; Ryo Sekizawa; Taisei Kato; Hiromi Arai (CoRR, 2024)

LLM-jp: A Cross-organizational Project for the Research and Development of Fully Open Japanese LLMs. - Akiko Aizawa; Eiji Aramaki; Bowen Chen; Fei Cheng 002; Hiroyuki Deguchi 002; Rintaro Enomoto; Kazuki Fujii; Kensuke Fukumoto; Takuya Fukushima; Namgi Han; Yuto Harada; Chikara Hashimoto; et al. (CoRR, 2024)

J-CHAT: Japanese Large-scale Spoken Dialogue Corpus for Spoken Dialogue Language Modeling. - Wataru Nakata; Kentaro Seki; Hitomi Yanaka; Yuki Saito 001; Shinnosuke Takamichi; Hiroshi Saruwatari (CoRR, 2024)

Neuro-Symbolic Reasoning for Multimodal Referring Expression Comprehension in HMI Systems. - Aman Jain; Anirudh Reddy Kondapally; Kentaro Yamada; Hitomi Yanaka (New Gener. Comput., 2024)

Analyzing the Inner Workings of Transformers in Compositional Generalization. - Ryoma Kumon; Hitomi Yanaka (NAACL (Long Papers), 2025)

Do Large Vision-Language Models Distinguish between the Actual and Apparent Features of Illusions? - Taiga Shinozaki; Tomoki Doi; Amane Watahiki; Satoshi Nishida; Hitomi Yanaka (CoRR, 2025)

Intersectional Bias in Japanese Large Language Models from a Contextualized Perspective. - Hitomi Yanaka; Xinqi He; Jie Lu; Namgi Han; Sunjin Oh; Ryoma Kumon; Yuma Matsuoka; Katsuhiko Watabe; Yuko Itatsu (CoRR, 2025)

Derivational Probing: Unveiling the Layer-wise Derivation of Syntactic Structures in Neural Language Models. - Taiga Someya; Ryo Yoshida; Hitomi Yanaka; Yohei Oseki (CoRR, 2025)

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 (CoRR, 2025)

LLMs Struggle with NLI for Perfect Aspect: A Cross-Linguistic Study in Chinese and Japanese. - Jie Lu; Du Jin; Hitomi Yanaka (CoRR, 2025)