Conference

  1. 2026

    A Comparative Analysis of LLM Memorization at Statistical and Internal Levels: Cross-Model Commonalities and Model-Specific Signatures

    Bowen Chen, Namgi Han, Yusuke Miyao

    EMNLP Main Conference 2026
  2. 2025

    RIAND: Robustness-Improved and Accelerated Neural Deduplication

    Bowen Chen

    IEEE SSCI 2025
  3. 2025

    A Statistical Revisiting the Member Inference Attack on Large Language Models

    Bowen Chen, Namgi Han, Yusuke Miyao

    ACL Main Conference 2025
  4. 2025

    OMS: On-the-fly, Multi-Objective, Self-Reflective Ad Keyword Generation via LLM Agent

    Bowen Chen, Zhao Wang, Takamatsu Shingo

    EMNLP Main Conference 2025
  5. 2025

    Mirror in the Model: Ad Banner Image Generation via Reflective Multi-LLM and Multi-modal Agents

    Zhao Wang*, Bowen Chen*, Yotaro Shimose*, Sota Moriyama, Heng Wang, Shingo Takamatsu

    * Equal contribution.

    EMNLP Industry Track 2025
  6. 2024

    A Comprehensive Evaluation of Inductive Reasoning Capabilities and Problem Solving in Large Language Models

    Bowen Chen, Rune Sætre, Yusuke Miyao

    EACL Findings 2024
  7. 2024

    A Multi-Perspective Analysis of Memorization in Large Language Models

    Bowen Chen, Namgi Han, Yusuke Miyao

    EMNLP Main Conference 2024
  8. 2022

    Mitigating Reporting Bias in Semi-supervised Temporal Commonsense Inference with Probabilistic Soft Logic

    Bibo Cai, Xiao Ding, Bowen Chen, Li Du, Ting Liu

    AAAI 2022
  9. 2022

    CogBERT: Cognition-guided pre-trained language models

    Xiao Ding*, Bowen Chen*, Li Du, Bing Qin, Ting Liu

    * Equal contribution.

    COLING 2022
  10. 2022

    Syntactic and Semantic Uniformity for Semantic Parsing and Task-Oriented Dialogue Systems

    Bowen Chen, Yusuke Miyao

    EMNLP Findings 2022

Journal

  1. 2024

    Text Difficulty Study: Do machines behave the same as humans regarding text difficulty?

    Bowen Chen, Xiao Ding, Yi Zhao, Bo Fu, Tingmao Lin, Bing Qin, Ting Liu

    Machine Intelligence Research 2024

Preprint & Under Review

  1. 2024

    LLM-jp: A Cross-organizational Project for the Research and Development of Fully Open Japanese LLMs

    LLM-jp Group

    I was responsible for the construction of evaluation tools and the investigation of the data contamination.

    arXiv 2024

Domestic Conference (Non Peer Reviewed)

  1. 2026

    大規模言語モデルにおけるIntruder Dimensionの発生傾向と分布に関する分析

    豊井 美雪, 陳 薄文, 韓 南琦, 宮尾 祐介

    言語処理学会 2026
  2. 2025

    オープン日本語LLMリーダーボードの構築と評価結果の分析

    Namgi Han, 岡本 拓己, 石田 茂樹, 林 俊宏, Akim Mousterou, Bowen Chen, 宮尾 祐介

    言語処理学会 2025
  3. 2024

    llm-jp-eval: 日本語大規模言語モデルの自動評価ツール

    Namgi Han, 植田 暢大, 大嶽 匡俊, 勝又 智, 鎌田 啓輔, 清丸 寛一, 児玉 貴志, 菅原 朔, Bowen Chen, 松田 寛, 宮尾 祐介, 村脇 有吾, 劉 弘毅

    言語処理学会 2024