Delivering multiple video digest for a large-scale archival and retrieval system. - Chih-Chang Hsu; Yoichi Ishibashi; Takuyo Kogure; Fumio Hasegawa; Terumasa Aoki; Hiroshi Yasuda (ICME (2), 2002)

A Video Metadata Application and Its Verification Test Using MPEG-7 Description and Watermarked Content ID. - Yoichi Ishibashi; Shigehiko Watabe; Manabu Ito; Takuyo Kogure; Haruo Hiki; Yoshikazu Tanno; Masaru Kawabata; Hidetoshi Mishima; Chih-Chang Hsu; Fumio Hasegawa (SAINT Workshops, 2003)

KSU Team's Dialogue System at the NTCIR-13 Short Text Conversation Task 2. - Yoichi Ishibashi; Sho Sugimoto; Hisashi Miyamori (NTCIR, 2017)

Reflection-based Word Attribute Transfer. - Yoichi Ishibashi; Katsuhito Sudoh; Koichiro Yoshino; Satoshi Nakamura 001 (ACL (student), 2020)

Multilingual Machine Translation Evaluation Metrics Fine-tuned on Pseudo-Negative Examples for WMT 2021 Metrics Task. - Kosuke Takahashi; Yoichi Ishibashi; Katsuhito Sudoh; Satoshi Nakamura 001 (WMT@EMNLP, 2021)

Subspace-based Set Operations on a Pre-trained Word Embedding Space. - Yoichi Ishibashi; Sho Yokoi; Katsuhito Sudoh; Satoshi Nakamura 001 (CoRR, 2022)

Evaluating the Robustness of Discrete Prompts. - Yoichi Ishibashi; Danushka Bollegala; Katsuhito Sudoh; Satoshi Nakamura 001 (EACL, 2023)

Knowledge Sanitization of Large Language Models. - Yoichi Ishibashi; Hidetoshi Shimodaira (CoRR, 2023)

Subspace Representations for Soft Set Operations and Sentence Similarities. - Yoichi Ishibashi; Sho Yokoi; Katsuhito Sudoh; Satoshi Nakamura 001 (NAACL-HLT, 2024)

Self-Organized Agents: A LLM Multi-Agent Framework toward Ultra Large-Scale Code Generation and Optimization. - Yoichi Ishibashi; Yoshimasa Nishimura (CoRR, 2024)

Can Large Language Models Invent Algorithms to Improve Themselves? - Yoichi Ishibashi; Taro Yano; Masafumi Oyamada (NAACL (Long Papers), 2025)

DeLTa: A Decoding Strategy based on Logit Trajectory Prediction Improves Factuality and Reasoning Ability. - Yunzhen He; Yusuke Takase; Yoichi Ishibashi; Hidetoshi Shimodaira (CoRR, 2025)

Mining Hidden Thoughts from Texts: Evaluating Continual Pretraining with Synthetic Data for LLM Reasoning. - Yoichi Ishibashi; Taro Yano; Masafumi Oyamada (CoRR, 2025)

LaMDAgent: An Autonomous Framework for Post-Training Pipeline Optimization via LLM Agents. - Taro Yano; Yoichi Ishibashi; Masafumi Oyamada (CoRR, 2025)