Center for Advanced Intelligence Project

9 papers have been accepted at the 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025), a top coference for Computational Linguistics (July 27-August 1, 2025, Vienna, Austria). For more details, please refer to the link below.

[ACL 2025] https://2025.aclweb.org/

[Main Oral and Panel Presentation]

• Mapping 1,000+ Language Models via the Log-Likelihood Vector
  Momose Oyama (Kyoto University / RIKEN AIP)
  Hiroaki Yamagiwa (Kyoto University)
  Yusuke Takase (Kyoto University)
  Hidetoshi Shimodaira (Kyoto University / RIKEN AIP)

[Main Poster presentation]

• A New Formulation of Zipf’s Meaning-Frequency Law through Contextual Diversity
  Ryo Nagata (Konan University / RIKEN AIP）
  Kumiko Tanaka-Ishii (Waseda University)
• Do Multimodal Large Language Models Truly See What We Point At? Investigating Indexical, Iconic, and Symbolic Gesture Comprehension
  Noriki Nishida (RIKEN AIP)
  Koji Inoue (The Unversity of Tokyo)
  Hideki Nakayama (The Unversity of Tokyo)
  Mayumi Bono (National Institute of Informatics)
• Library-Like Behavior In Language Models is Enhanced by Self-Referencing Causal Cycles
  Munachiso S Nwadike (MBZUAI / RIKEN AIP)
  Zangir Iklassov (MBZUAI)
  Toluwani Aremu (MBZUAI)
  Tatsuya Hiraoka (MBZUAI / RIKEN AIP)
  Benjamin Heinzerling (RIKEN AIP / Tohoku University)
  Velibor Bojkovic (MBZUAI)
  Hilal AlQuabeh (MBZUAI / RIKEN AIP)
  Martin Takáč (MBZUAI)
  Kentaro Inui (MBZUAI / RIKEN AIP / Tohoku University)
• Quantifying Lexical Semantic Shift via Unbalanced Optimal Transport
  Ryo Kishino (Kyoto University）
  Hiroaki Yamagiwa (Kyoto University）
  Ryo Nagata (Konan University / RIKEN AIP）
  Sho Yokoi (NINJAL, Tohoku University / RIKEN AIP)
  Hidetoshi Shimodaira (Kyoto University / RIKEN AIP）
• Rubrik’s Cube: Testing a New Rubric for Evaluating Explanations on the CUBE dataset
  Diana Galvan-Sosa (University of Cambridge)
  Gabrielle Gaudeau (University of Cambridge)
  Pride Kavumba (SB Intuitions)
  Yunmeng Li (Tohoku University)
  Hongyi gu (NetMind.AI)
  Zheng Yuan (The University of Sheffield)
  Keisuke Sakaguchi (Tohoku University / RIKEN AIP)
  Paula Buttery(University of Cambridge)

[Findings]

• Can Input Attributions Interpret the Inductive Reasoning Process in In-Context Learning?
  Mengyu Ye (Tohoku University)
  Tatsuki Kuribayashi (MBZUAI / Tohoku University)
  Goro Kobayashi (Tohoku University / RIKEN AIP)
  Jun Suzuki (Tohoku University / RIKEN AIP)
• On Entity Identification in Language Models
  Masaki Sakata (Tohoku University / RIKEN AIP)
  Sho Yokoi (NINJAL, Tohoku University / RIKEN AIP)
  Benjamin Heinzerling (RIKEN AIP / Tohoku University)
  Takumi Ito (Tohoku University / Langsmith Inc.)
  Kentaro Inui (MBZUAI, Tohoku University / RIKEN AIP)
• Rectifying Belief Space via Unlearning to Harness LLMs’ Reasoning
  Ayana Niwa (MBZUAI)
  Masahiro Kaneko (MBZUAI)
  Kentaro Inui (MBZUAI, Tohoku University / RIKEN AIP)

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