Conference

Conference

1. CogBERT: Cognition-guided pre-trained language models
   Xiao Ding, Bowen Chen, Li Du, Bing Qin, Ting Liu at Coling 2022 (co-first with my supervisor Prof.Xiao Ding during Master study.)
2. Mitigating Reporting Bias in Semi-supervised Temporal Commonsense Inference with Probabilistic Soft Logic
   Bibo Cai, Xiao Ding, Bowen Chen, Li Du, Ting Liu at AAAI 2022
3. Syntactic and Semantic Uniformity for Semantic Parsing and Task-Oriented Dialogue Systems
   Bowen Chen, Yusuke Miyao at EMNLP 2022 Findings
4. A Comprehensive Evaluation of Inductive Reasoning Capabilities and Problem Solving in Large Language Models
   Bowen Chen, Rune Sætre, Yusuke Miyao at EACL Findings 2024
5. RIAND: Robustness-Improved and Accelerated Neural Deduplication
   Bowen Chen IEEE SSCI 2025
6. A Multi-Perspective Analysis of Memorization in Large Language Models
   Bowen Chen, Namgi Han, Yusuke Miyao at EMNLP Main Conference 2024

Journal

1. 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 at Machine Intellgience Research 2024 (Journal)

   Preprint/Under Review

2. 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 problem.
3. A Statistical Revisiting the Member Inference Attack on Large Language Models
   Bowen Chen, Namgi Han, Yusuke Miyao

Non-refereed

1. 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 (authors in alphabetical order) at 言語処理学会2024