Journal Paper

• Dongyuan Li, Yusong WANG, Kotaro Funakoshi, Manabu Okumura. Active Learning Based Fine-Tuning Framework for Speech Emotion Recognition, Journal of Natural Language Processing, Vol. 31, No. 3, Sept. 2024.

International Conference (Reviewed)

• Aru Maekawa, Satoshi Kosugi, Kotaro Funakoshi, Manabu Okumura. DiLM: Distilling Dataset into Language Model for Text-level Dataset Distillation, 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Findings of the Association for Computational Linguistics, pp. 3138–3153, June 2024.
• Boonnithi Jiaramaneepinit, Thodsaporn Chay-intr, Kotaro Funakoshi, Manabu Okumura. Extreme Fine-tuning: A Novel and Fast Fine-tuning Approach, The 18th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2024), Mar. 2024.

Domestic Conference (Not reviewed / Unknown)

• Aru Maekawa, Satoshi Kosugi, Kotaro Funakoshi, Manabu Okumura. テキスト生成モデルを利用したデータセット蒸留, 言語処理学会第30回年次大会, Mar. 2024.
• Haruki Kido, Aru Maekawa, Satoshi Kosugi, Kotaro Funakoshi, Manabu Okumura. R2T: 言語モデルの確率操作による学習なし中間文生成, 言語処理学会第30回年次大会, Mar. 2024.
• Yuichiro Mori, Aru Maekawa, Satoshi Kosugi, Kotaro Funakoshi, Hiroya Takamura, Manabu Okumura. サッカー実況中継を付加的情報の提供という側面から見る, 言語処理学会第30回年次大会, Mar. 2024.

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