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奥村学 研究業績一覧 (12件 / 489件)
論文
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Aru Maekawa,
Satoshi Kosugi,
Kotaro Funakoshi,
Manabu Okumura.
DiLM: Distilling Dataset into Language Model for Text-level Dataset Distillation,
自然言語処理,
Vol. 32,
No. 1,
Mar. 2025.
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Aru Maekawa,
Naoki Kobayashi,
Kotaro Funakoshi,
Manabu Okumura.
Dataset Distillation with Attention Labels for Fine-tuning BERT,
自然言語処理,
Vol. 32,
No. 1,
pp. 283-299,
Mar. 2025.
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Tatsuya Aoki,
Jey Han Lau,
Hidetaka Kamigaito,
Hiroya Takamura,
Timothy Baldwin,
Manabu Okumura.
Discovering Unusual Word Usages with Masked Language Model via Pseudo-label Training,
Journal of Natural Language Processing,
Vol. 32,
No. 1,
pp. 134-175,
Mar. 2025.
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Zhen Wang,
Dongyuan Li,
Renhe Jiang,
Manabu Okumura.
Continuous Sign Language Recognition with Multi-Scale Spatial-Temporal Feature Enhancement,
IEEE Access,
Vol. 13,
pp. 5491 - 5506,
Jan. 2025.
国際会議発表 (査読有り)
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Yicheng Xu,
Yuxin Chen,
Jiahao Nie,
Yusong Wang,
Huiping Zhuang,
Manabu Okumura.
Advancing Cross-domain Discriminability in Continual Learning of Vison-Language Models,
The Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS2024),
Dec. 2025.
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Tsutomu Hirao,
Naoki Kobayashi,
Hidetaka Kamigaito,
Manabu Okumura,
Akisato Kimura.
Video Discourse Parsing and Its Application to Multimodal Summarization: A Dataset and Baseline Approaches,
The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024),
Nov. 2025.
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Hidetaka Kamigaito,
Soichiro Murakami,
Peinan Zhang,
Hiroya Takamura,
Manabu Okumura.
Generating Attractive Ad Text by Facilitating the Reuse of Landing Page Expressions,
The International Conference on Natural Language Generation (INLG2024),
Sept. 2025.
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Juseon-Do,
Hidetaka Kamigaito,
Manabu Okumura,
Jingun Kwon.
InstructCMP: Length Control in Sentence Compression through Instruction-based Large Language Models,
The 62nd Annual Meeting of the Association for Computational Linguistics(ACL2024),
Aug. 2025.
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Shiyin Tan,
Dongyuan Li,
Renhe Jiang,
Ying Zhang,
Manabu Okumura.
Community-Invariant Graph Contrastive Learning,
Forty-first International Conference on Machine Learning (ICML2024),
July 2025.
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Toshiki Kawamoto,
Masaki Tashiro,
Takamichi Nakamoto,
Manabu Okumura.
Creating Linguistic Embedding Space for Odors,
the 2024 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN),
May 2025.
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Dongyuan Li,
Satoshi Kosugi,
Ying Zhang,
Manabu Okumura,
Feng Xia,
Renhe Jiang.
Revisiting Dynamic Graph Clustering via Matrix Factorization,
The Web Conference,
Apr. 2025.
国内会議発表 (査読なし・不明)
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