The following article has been included in the International Journal of Artificial Intelligence in Education.

下記の論文が採録された『International Journal of Artificial Intelligence in Education』が掲載されました。

• Hiroaki Funayama, Yuichiroh Matsubayashi, Yuya Asazuma, Tomoya Mizumoto & Kentaro Inui.
  “Cross-prompt Pre-finetuning of Language Models for Short Answer Scoring”

The following papers have been accepted to The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP 2025).

EMNLP 2025 に下記の論文が採択されました。

Main Conference

• Momoka Furuhashi, Kouta Nakayama, Takashi Kodama and Saku Sugawara.
  “Are Checklists Really Useful for Automatic Evaluation of Generative Tasks?”
• Wenzhi Wang, Paul Reisert, Shoichi Naito, Naoya Inoue, Machi Shimmei, Surawat Pothong, Jungmin Choi and Kentaro Inui.
  “Identification of Multiple Logical Interpretations in Counter-Arguments”

Findings

• Tatsuro Inaba, Go Kamoda, Kentaro Inui, Masaru Isonuma, Yusuke Miyao, Yohei Oseki, Yu Takagi and Benjamin Heinzerling.
  “How a Bilingual LM Becomes Bilingual: Tracing Internal Representations with Sparse Autoencoders”
• Yuto Nishida, Masaru Isonuma and Yusuke Oda.
  “Instability in Downstream Task Performance During LLM Pretraining”

The following papers have been accepted to The 2025 Pacific Rim International Conference on Artificial Intelligence (PRICAI 2025).

PRICAI 2025 に下記の論文が採択されました。

• Suchun Xie, Shota Sasaki, Hwichan Kim, Yunmeng Li, Reina Akama, Jun Suzuki.
  “Understanding Cross-Lingual Generalization of English-Centric LLMs: The Role of Representation Similarity and Data Exposure”

Associate Professor Sho Yokoi gave a talk titled “What a ‘stochastic parrot’ can do, and why it can do it” at the 51st Annual Conference of the Japan Association for English Corpus Studies (JAECS) held from September 2nd to 3rd.

9月2日から3日にかけて開催された英語コーパス学会（JAECS）第51回大会にて、横井祥准教授が『「確率的なオウム」にできること、またそれがなぜできるのかについて』のタイトルでトークを行いました。

An Open Campus event targeting prospective students and the local community has been held on July 30th and 31st. Tohoku NLP Group showcased the research results with demonstration systems and panel displays.

7月30日-31日の2日間、入学希望者や地域の方々を対象にしたオープンキャンパスが開催されました。 Tohoku NLP Group では、教員による研究室紹介や所属学生との交流を行いました。

• 工学部電気情報物理工学科オープンキャンパス 研究室公開・展示
• 研究室紹介動画「（鈴木（潤））・坂口・乾研究室《自然言語処理学研究室》」
• 研究室紹介動画「鈴木（潤）研究室《人工知能基礎学》」

The following paper received the AIED 2025 Best LBR Paper Award. Congratulations!

震明 万智（助教）らの下記の研究がAIED 2025 Best LBR Paper Awardを受賞しました。おめでとうございます！

• Machi Shimmei, Masaki Uto, Yuichiroh Matsubayashi, Kentaro Inui, Aditi Mallavarapu and Noboru Matsuda.
  Tell Me Who Your Students Are: GPT Can Generate Valid Multiple-Choice Questions When Students’ (Mis)Understanding Is Hinted

The following papers were presented at the 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025) main conference and workshops held in Vienna, Austria from July 27th to August 1st.

7月27日から8月1日にかけてオーストリアのウィーンで開催された ACL 2025 にて、下記の発表を行いました。

Main Conference

• Ryo Kishino, Hiroaki Yamagiwa, Ryo Nagata, Sho Yokoi and Hidetoshi Shimodaira.
  “Quantifying Lexical Semantic Shift via Unbalanced Optimal Transport”
• Munachiso S Nwadike, Zangir Iklassov, Toluwani Aremu, Tatsuya Hiraoka, Benjamin Heinzerling, Velibor Bojkovic, Hilal AlQuabeh, Martin Takáč and Kentaro Inui.
  “Library-Like Behavior In Language Models is Enhanced by Self-Referencing Causal Cycles”
• Diana Galvan-Sosa, Gabrielle Gaudeau, Pride Kavumba, Yunmeng Li, Hongyi gu, Zheng Yuan, Keisuke Sakaguchi and Paula Buttery.
  “Rubrik’s Cube: Testing a New Rubric for Evaluating Explanations on the CUBE dataset”
• Hai-Long Sun, Zhun Sun, Houwen Peng and Han-Jia Ye.
  “Mitigating Visual Forgetting via Take-along Visual Conditioning for Multi-modal Long CoT Reasoning”

Findings

• Ayana Niwa, Masahiro Kaneko and Kentaro Inui.
  “Rectifying Belief Space via Unlearning to Harness LLMs’ Reasoning”
• Masaki Sakata, Benjamin Heinzerling, Sho Yokoi, Takumi Ito and Kentaro Inui.
  “On Entity Identification in Language Models”
• Mengyu Ye, Tatsuki Kuribayashi, Goro Kobayashi and Jun Suzuki.
  “Can Input Attributions Explain Inductive Reasoning in In-Context Learning? ”

2nd-year Doctoral student Keito Kudo received the Best Presentation Award at the 33rd Doctoral Student Presentations held on July 11th. Congratulations!

7月11日に開催された第33回博士後期課程学生発表会にて、工藤慧音 （博士課程2年）がベストプレゼンテーション賞を受賞しました。おめでとうございます！

2nd-year Master student Shinnosuke Nozue received the IPSJ-Young Researcher Encouragement Award. Congratulations!

野末 慎之介（修士課程2年）が情報処理学会NL研若手奨励賞を受賞しました。おめでとうございます！

Mr. Yuya Matsumura, Mr. Yusuke Shibui from LayerX, Inc. gave a talk entitled “Bakuraku’s vision of fully autonomous business operations and the foundational technologies—including workflow auto-generation—required to realize agentic workflows.” (MiCS)

株式会社LayerXの松村優也氏、澁井雄介氏に、「バクラクの目指す“業務の完全自動運転” と、その実現に向けて必要な技術」および「Agentic Workflowを実現するワークフロー自動生成と基盤技術」という表題でご講演いただきました。(みちのく情報伝達学セミナー)

The following paper was selected for the Best Paper Nominee at AIED2025 (Main Track, Late Breaking Results). Congratulations!

Steven Coyne（博士1年）、震明 万智（助教）らの下記の研究が、AIED2025 のベストペーパーにノミネートされました。おめでとうございます！

• Steven Coyne, Diana Galvan-Sosa, Ryan Spring, Camélia Guerraoui, Michael Zock, Keisuke Sakaguchi and Kentaro Inui.
  Annotating Errors in English Learners’ Written Language Production: Advancing Automated Written Feedback Systems
• Machi Shimmei, Masaki Uto, Yuichiroh Matsubayashi, Kentaro Inui, Aditi Mallavarapu and Noboru Matsuda.
  Tell Me Who Your Students Are: GPT Can Generate Valid Multiple-Choice Questions When Students’ (Mis)Understanding Is Hinted

The following work was presented at the 264th IPSJ NLP Conference held on July 6th and 7th.

7月6日から7日にかけて開催された第264回自然言語処理研究発表会 (NL-264) にて、下記の発表を行いました。

• 野末 慎之介, 松林 優一郎, 藤井 諒, 岸波 洋介, 森下 睦, 坂口 慶祐
  • “日英翻訳タスクにおける大規模言語モデルのゼロ照応解析性能の影響”

The following paper has been accepted to 2nd AI for Math Workshop @ ICML 2025.

下記の論文が Acceptance to 2nd AI for Math Workshop @ ICML 2025 に採択されました。

• Taishi Nakamura, Satoki Ishikawa, Masaki Kawamura, Takumi Okamoto, Daisuke Nohara, Jun Suzuki and Rio Yokota.
  “Optimal Sparsity of Mixture-of-Experts Language Models for Reasoning Tasks”

The following paper has been accepted to the Conference of Language Modeling (COLM) 2025.

COLM 2025 に下記の論文が採択されました。

• Kazuki Yano, Sho Takase, Sosuke Kobayashi, Shun Kiyono and Jun Suzuki.
  “Efficient Construction of Model Family through Progressive Training Using Model Expansion”
• Wataru Ikeda, Kazuki Yano, Ryosuke Takahashi, Jaesung Lee, Keigo Shibata and Jun Suzuki.
  “Layer-wise Importance Analysis of Feed-Forward Networks in Transformer-based Language Models”
• Sho Takase, Shun Kiyono, Sosuke Kobayashi and Jun Suzuki.
  “Spike No More: Stabilizing the Pre-training of Large Language Models”

The following papers have been accepted at the 26th Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL 2025).

SIGDIAL 2025 に下記の論文が採択されました。

• Ikumi Numaya, Shoji Moriya, Shiki Sato, Reina Akama and Jun Suzuki.
  “How Stylistic Similarity Shapes Preferences in Dialogue Dataset with User and Third Party Evaluations”
• Shiki Sato, Shinji Iwata, Asahi Hentona, Yuta Sasaki, Takato Yamazaki, Shoji Moriya, Masaya Ohagi, Hirofumi Kikuchi, Jie Yang, Zhiyang Qi, Takashi Kodama, Akinobu Lee, Masato Komuro, Hiroyuki Nishikawa, Ryosaku Makino, Takashi Minato, Kurima Sakai, Tomo Funayama, Kotaro Funakoshi, Mayumi Usami, Michimasa Inaba, Tetsuro Takahashi and Ryuichiro Higashinaka.
  “Key Challenges in Multimodal Task-Oriented Dialogue Systems: Insights from a Large Competition-Based Dataset”
• Tetsuro Takahashi, Hirofumi Kikuchi, Jie Yang, Hiroyuki Nishikawa, Masato Komuro, Ryosaku Makino, Shiki Sato, Yuta Sasaki, Shinji Iwata, Asahi Hentona, Takato Yamazaki, Shoji Moriya, Masaya Ohagi, Zhiyang Qi, Takashi Kodama, Akinobu Lee, Takashi Minato, Kurima Sakai, Tomo Funayama, Kotaro Funakoshi, Mayumi Usami, Michimasa Inaba and Ryuichiro Higashinaka.
  “Analyzing Dialogue System Behavior in a Specific Situation Requiring Interpersonal Consideration”

Mr.Aozora Inagaki, Mr.Keita Hoshii, Mr.Haruki Nagasawa, and Ms.Yuna Suzuki from CyberAgent, Inc. gave a talk entitled “The Social Implementation of ML Technologies at CyberAgent: What Changes and What Remains the Same with Generative AI” (MiCS)

株式会社サイバーエージェントの稲垣青空氏、干飯啓太氏、長澤春希氏、鈴木裕奈氏に、「サイバーエージェントにおけるML技術の社会実装 ～生成AIで変わるもの・変わらないもの～ 」という表題でご講演いただきました。(みちのく情報伝達学セミナー)

We held a beer garden-style barbecue to welcome our new members. Under the gentle glow of swaying lanterns, conversations flowed freely, making it a memorable evening that marked the beginning of a new chapter.

新メンバーの歓迎会を兼ねて、ビアガーデン風バーベキューを行いました。提灯の明かりが揺れる中で会話もはずみ、新たなつながりを感じる時間となりました。

Prof. JinYeong Bak from Sungkyunkwan University gave a talk entitled “Enhancing Memory in Neural Networks: Memory Retention, Efficient Adaptation, and Self-Training for Reasoning” (MiCS)

成均館大学校のJinYeong Bak准教授に、「Enhancing Memory in Neural Networks: Memory Retention, Efficient Adaptation, and Self-Training for Reasoning 」という表題でご講演いただきました。(みちのく情報伝達学セミナー)

We held a surprise party at the Suzuki Laboratory to celebrate Professor Jun Suzuki’s birthday!
The event was themed around the lab’s symbolic color, blue.
Video messages were sent from colleagues with close ties to Professor Suzuki, including Professor Kentaro Inui from MBZUAI and Associate Professor Sho Yokoi from the National Institute for Japanese Language and Linguistics.
Professor Suzuki watched them with great joy and appreciation.

鈴木潤教授のお誕生日を祝うサプライズパーティーを鈴木研究室で開催しました！ 鈴木研のシンボルカラー「青」をイメージしたパーティでした。MBZUAIの乾健太郎教授や国語研の横井祥准教授など鈴木教授に縁のある遠方の方々からはビデオレターも届き、大変嬉しそうなご様子でご覧になっておりました。

Associate Professor Sho Yokoi gave a talk titled “An Introduction to Semantic Analysis of Corpora Using Large Language Models: Computing Meaning Beyond the Sentence Level” at the Spring 2025 Research Meeting and General Assembly of the Association for English Corpus Studies held on June 14.

6月14日に開催された英語コーパス学会2025年度春季研究会・総会にて、横井祥准教授が「大規模言語モデルを利用したコーパスの意味分析入門 — 文を超えた意味の計算」のタイトルでトークを行いました。