About Pengshuo Qiu
Pengshuo Qiu (仇鹏硕 or キュウ) is a passionate and aspiring student studying in the field of Natural Language Processing (NLP) with a keen interest in Large Language Model (LLM).
Recently, he is working and studying on:
- Explainability for LLM
- LLM safety
Personal information:
e-mail: qiu.pengshuo.t5@dc.tohoku.ac.jp
Academic Background
Qiu is a 3rd year student in Tohoku university. He is advising by Yuichiroh Matsubayashi working with Tohoku EduNLP Lab and Tohoku NLP Group.
Publication
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MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems?
Renrui Zhang, Dongzhi Jiang, Yichi Zhang, Haokun Lin, Ziyu Guo, Pengshuo Qiu, Aojun Zhou, Pan Lu, Kai-Wei Chang, Peng Gao, Hongsheng Li
Experience
- Research Intership at CUHK contributed to the paper MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems? Pengshuo’s job was collecting and cleaning dataset. - (Dec 2023 - Mar 2024)
- Administrative Assistant @Tohoku Global Learning Center - (Oct 2022 - Jan 2023)
- Short term Exchange Student @University of York - (Feb 2023 - Mar 2023)
- Short term Exchange Student @UC Davis - (Aug 2022 - Sep 2022)
Future Goals
Looking ahead, Qiu is actively seeking opportunities to further his research and contribute to the cutting-edge developments in NLP. Qiu is now looking for research intership and opportunities for undergraduates. His goal is to delve deeper into the challenges and possibilities of language modeling.
Skills
- Language: English, Chinese, Japanese
- Coding: Python, Copilot
Thank you for visiting :)