News
The following papers have been accepted to the ACL 2026 Student Research Workshop (SRW).
- Ryuhei Miyazato, Shunsuke Kitada, and Kei Harada. “EnsemHalDet: Robust VLM Hallucination Detection via Ensemble of Internal State Detectors”.
- Michito Takeshita, Takuro Kawada, Takumi Ohashi, Shunsuke Kitada, and Hitoshi Iyatomi. “A11y-Compressor: A Framework for Enhancing the Efficiency of GUI Agent Observations through Visual Context Reconstruction and Redundancy Reduction”.
We will present the following papers at ANLP 2026:
- 川田 拓朗, 北田 俊輔, 彌冨 仁. “SciGA-Vec: 学術論文におけるベクタ画像形式の Graphical Abstract データセット”.
- 菊谷 幹, 北田 俊輔, 原 聡. “MLP の重みを反映した Sparse Autoencoder の初期化手法の提案”.
- 北田 俊輔, 原 聡. “ステアリングベクトルは日本語LLMを堅牢に制御できるか？”.
- 竹下 理斗, 川田 拓朗, 大橋 巧, 北田 俊輔, 彌冨 仁. “Compressed-a11y: 視覚的文脈の再構成と冗長性削減による GUI エージェント観測の効率化”.
The following papers have been accepted to the Findings of CVPR 2026:
- Takuro Kawada, Shunsuke Kitada, Sota Nemoto, Hitoshi Iyatomi. “SciGA: A Comprehensive Dataset for Designing Graphical Abstracts in Academic Papers”.
- Daichi Nagai, Ryugo Morita, Shunsuke Kitada, Hitoshi Iyatomi. “TAUE: Training-free Noise Transplant and Cultivation Diffusion Model”.
We will present the following paper at IBIS 2025:
- 永井 大地, 守田 竜梧, 北田 俊輔, 彌冨 仁. “潜在拡散モデルでのレイアウト指定生成に向けたアテンションに基づく初期ノイズ最適化”.
We will present the following papers at YANS 2025:
- 陳 冠帆, 田中 優太朗, 中川 翼, 北田 俊輔, 川田 拓朗, 彌冨 仁. “WRIME-TC：時間的文脈による書き手と読み手の感情分析の強化”.
- 川田 拓朗, 北田 俊輔, 彌冨 仁. “GenGA：学術論文における編集可能な Graphical Abstract の自動生成に関する初期検討”.
- 中町 礼文, 浦宗 龍生, 吉橋 亮太, 和田 有輝也, 北田 俊輔, 牧田 光晴. “日本語の広告画像向けタイポグラフィ属性の生成型解析：小規模 VLM の LoRA 微調整による検証”.
- 竹下 理斗, 川田 拓朗, 大橋 巧, 北田 俊輔, 彌冨 仁. “ローカル LLM を用いた AI エージェントの現状と課題”.
We will present the following papers at MIRU 2025:
- 川田 拓朗, 北田 俊輔, 根本 颯汰, 彌冨 仁. “グラフィカルアブストラクト推薦と評価の統合ベンチマーク”.
- Jiahao Zhang, Ryota Yoshihashi, Shunsuke Kitada, Atsuki Osanai, Yuta Nakashima. “VASCAR: Content-Aware Layout Generation via Visual-Aware Self-Correction”.
I’m thrilled to announce that, in addition to my main role at LYCorp., I’ve just started as an part-time researcher at The University of Electro-Communications! Under the guidance of Prof. Satoshi Hara, I’ll be working on the K Program “Red Teaming Framework for Misalignment in Large Language Models.” Looking forward to making an impact in both industry and academia!
Our workshop proposal “FOUND: Foundation Data for Foundation Models” has been accepted at ICCV 2025, one of the top conferences in computer vision. This workshop will highlight the critical role of data in building foundation models, with a particular focus on robust dataset construction and industry-driven applications.