Publications 📗

@inproceedings{Rzepka_MINSC26,

title = { Beyond Description: Comparing AI and Human Interpretation of Visual Art in Social Communication Contexts},

author = {Rafal Rzepka and Jin Hosono and Jun Nakamura},

year  = {2026},

date = {2026-08-10},

booktitle = {Proceedings of the 13th Multidisciplinary International Social Networks Conference (MISNC 2026), August 10-12, 2026, Danang, Vietnam},

keywords = {},

pubstate = {forthcoming},

tppubtype = {inproceedings}

}

@inproceedings{Hirakata2026AGIArchitecture,

title = {左右脳統合モナド／モジュールを基盤とするAGIアーキテクチャ},

author = {平方 勝 and 馬 沖 and ジェプカ ラファウ and 山田 智章 and 加瀬 究},

year  = {2026},

date = {2026-06-11},

booktitle = {2026年度人工知能学会全国大会（第40回）},

note = {Paper ID: 4L4-GS-1a-01},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Yokoyama2026StoryOrdering,

title = {計算資源制約下における言語モデルの日本語ストーリー文順序付け能力の評価},

author = {横山 明咲 and ジェプカ ラファウ},

year  = {2026},

date = {2026-06-09},

booktitle = {2026年度人工知能学会全国大会（第40回）},

note = {Paper ID: 2Yin-B-06},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Ihara2026StoryUnderstanding,

title = {日本語物語理解におけるLLMの動作主体・対象抽出能力と文脈理解の限界},

author = {井原 惇宏 and ジェプカ ラファウ},

year  = {2026},

date = {2026-06-09},

booktitle = {2026年度人工知能学会全国大会（第40回）},

note = {Paper ID: 2Yin-B-07},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Yamada2026KnowledgeDistillation,

title = {大規模言語モデルからの知識蒸留による低コストな顧客怒り度推定システムの開発},

author = {山田 有沙人 and ジェプカ ラファウ},

year  = {2026},

date = {2026-06-09},

booktitle = {2026年度人工知能学会全国大会（第40回）},

note = {Paper ID: 2Yin-B-10},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{rzepka2026dataset,

title = {A Dataset and Benchmark for Resolving Legal Cross-References in Japanese Export Control Regulations},

author = {Rafal Rzepka and Shinji Muraji and Akihiko Obayashi},

year  = {2026},

date = {2026-06-08},

urldate = {2026-06-01},

booktitle = {Proceedings of the Twentieth International Workshop on Juris-informatics (JURISIN 2026) associated with JSAI International Symposia on AI 2026 (IsAI-2026)},

address = {Gunma, Japan},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{MurajiLaCATODA26,

title = {Evaluation of Emotion-Conditioned Response Generation for Role-Playing Agents Using Large Language Models: A Case Study with Facial Expression Labels from Visual Novel Data},

author = {Shinji Muraji and Rafal Rzepka and Toshihiko Itoh},

url = {https://ceur-ws.org/Vol-4178/},

year  = {2026},

date = {2026-01-27},

urldate = {2026-01-27},

booktitle = {CEUR Proceedings of the 10th Linguistic and Cognitive Approaches to Dialog Agents (LaCATODA 2026), AAAI 2026 Workshop, Singapore, 2026},

pages = {144--159},

publisher = {WS-CEUR},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{RzepkaLaCATODA2026,

title = {Evaluating Lightweight Embedding Guardrails for Cost-Effective Misalignment Mitigation in Export Control Dialog Systems},

author = {Rafal Rzepka and Shinji Muraji and Akihiko Obayashi},

url = {https://ceur-ws.org/Vol-4178/},

year  = {2026},

date = {2026-01-27},

urldate = {2026-01-27},

booktitle = {CEUR Proceedings of the 10th Linguistic and Cognitive Approaches to Dialog Agents (LaCATODA 2026), AAAI 2026 Workshop, Singapore, 2026.},

pages = {132--143},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{JETHICS2026,

title = {JETHICS: Japanese Ethics Understanding Evaluation Dataset},

author = {Masashi Takeshita and Rafal Rzepka},

year  = {2026},

date = {2026-01-27},

booktitle = {To appear in the Proceedings of Machine Ethics: from Formal Methods to Emergent Machine Ethics, AAAI 2026 Workshop, Singapore, 2026 },

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{RzepkaLaCATODA2026b,

title = {A Novel Neuro-symbolic Approach to Irony Detection Based on Structural Components of Ironic Statements},

author = {Hiroshi Shigenobu and Michal Ptaszynski and Shunsuke Dan and Fumito Masui and Yuzu Uchida and Rafal Rzepka},

url = {https://ceur-ws.org/Vol-4178/},

year  = {2026},

date = {2026-01-27},

urldate = {2026-01-27},

booktitle = {CEUR Proceedings of the 10th Linguistic and Cognitive Approaches to Dialog Agents (LaCATODA 2026), AAAI 2026 Workshop, Singapore, 2026.},

pages = {172-183},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{10.1145/3765766.3765822,

title = {Predicting Cooperative Overlap Timing to Enhance Human-likeness in Spoken Dialogue},

author = {Ryusei Hachiya and Toshihiko Itoh},

url = {https://doi.org/10.1145/3765766.3765822},

doi = {10.1145/3765766.3765822},

isbn = {9798400721786},

year  = {2026},

date = {2026-01-01},

booktitle = {Proceedings of the 13th International Conference on Human-Agent Interaction},

pages = {389–391},

publisher = {Association for Computing Machinery},

address = {New York, NY, USA},

series = {HAI '25},

abstract = {Cooperative overlap is a conversational behavior that expresses engagement and supports smooth communication, yet it is rarely addressed in dialogue systems. In this study, we extracted instances of cooperative overlap from a Japanese casual conversation corpus and explored the feasibility of predicting their timing using a lightweight classifier. The model showed learning tendencies that indicate potential for distinguishing cooperative overlaps from other utterances. Our findings suggest that this behavior can be implemented in dialogue agents. This work opens up new possibilities for designing systems that interact more naturally and responsively with users.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{ShintoAACL2025,

title = {To What Extent Can In-Context Learning Solve Unseen Tasks?},

author = {Ryoma Shinto and Masashi Takeshita and Rafal Rzepka and Toshihiko Itoh},

url = {https://aclanthology.org/2025.ijcnlp-srw.23/},

year  = {2025},

date = {2025-12-20},

urldate = {2025-12-20},

booktitle = {IJCNLP-AACL Student Research Workshop, Mumbai, 2025 (Best Paper Award🏆) },

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{ShintoDemo2025,

title = {Live Demonstration: Fingerspelling Recognition in Quantized Neural Networks with Emulated Memristors for 2D/3D Camera Applications},

author = {Yoshinari Wada and Rei Kusunose and Ryoma Shinto and Ayane Matsuzaki and Seiji Adachi and Kota Ando and Tetsuya Asai and Takao Marukame},

year  = {2025},

date = {2025-10-16},

urldate = {2025-10-16},

booktitle = {Proceedings of 2025 IEEE Biomedical Circuits and Systems Conference, Abu Dhabi, UAE},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{nokey,

title = {Rethinking Continual Learning with Pre-Trained Models: Knowledge-Preserving Approach},

author = {Makoto Misaizu and Koshi Watanabe and Keisuke Maeda and Takahiro Ogawa and Rafal Rzepka and Toshihiko Itoh and Miki Haseyama},

year  = {2025},

date = {2025-09-23},

urldate = {2025-09-23},

booktitle = {Proceedings of 2025 IEEE 14th Global Conference on Consumer Electronics (GCCE)},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{ICAAI2024,

title = {Effectiveness of Security Export Control Ontology for Predicting Answer Type and Regulation Categories},

author = {Rafal Rzepka and Akihiko Obayashi},

url = {https://doi.org/10.1145/3704137.3704180},

doi = {10.1145/3704137.3704180},

isbn = {9798400718014},

year  = {2025},

date = {2025-01-01},

urldate = {2025-01-01},

booktitle = {Proceedings of the 2024 8th International Conference on Advances in Artificial Intelligence},

pages = {156–161},

publisher = {Association for Computing Machinery},

address = {New York, NY, USA},

series = {ICAAI '24},

abstract = {In this paper we present results of our experiments investigating if an expert knowledge graph can improve Large Language Models accuracy in predicting correct answer labels and regulations related to the topic of security export control. As the lack of related data prevents machine-learning or fine-tuning approaches, we implement prompt expansion by searching most relevant nodes of the graph and adding the expanded context to the prompt. Results of our experiments show that the addition improved answer type selection but clearly hamper the capability of finding a correct regulation category.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}