Xingran Chen

I am currently a second-year master student in Biostatistics at the University of Michigan. Before that, I obtained my Bachelor of Science in Statistics (Data Science Track) at the Shanghai University of Finance and Economics, where I was advised by Prof. Wanyun Cui. My name in Chinese characters is 陈星然.

My current research interest focus on LLMs and AI-powered statistical inference procedure.

I am currently seeking a Ph.D. position for Fall 2024! Any advice or suggestions are welcome!

Selected Publications

2023

Free Lunch for Efficient Textual Commonsense Integration in Language Models

Wanyun Cui, and Xingran Chen

ACL 2023, 2023

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Exploring Automatically Perturbed Natural Language Explanations in Relation Extraction

Wanyun Cui, and Xingran Chen

ACL 2023 Findings, 2023

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MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training

Yizhi Li, Ruibin Yuan, Ge Zhang, Yinghao Ma, Xingran Chen, Hanzhi Yin, Chenghua Lin, Anton Ragni, Emmanouil Benetos, Norbert Gyenge, and others

arXiv preprint arXiv:2306.00107, 2023

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TPDM: Selectively Removing Positional Information for Zero-shot Translation via Token-Level Position Disentangle Module

Xingran Chen, Ge Zhang, and Jie Fu

arXiv preprint arXiv:2305.19857, 2023

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MotifRetro: Exploring the Combinability-Consistency Trade-offs in retrosynthesis via Dynamic Motif Editing

Zhangyang Gao*, Xingran Chen*, Cheng Tan*, and Stan Z Li

arXiv preprint arXiv:2305.15153, 2023

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2022

Instance-based Learning for Knowledge Base Completion

Wanyun Cui, and Xingran Chen

NeurIPS 2022, 2022

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2021

Open Rule Induction

Wanyun Cui, and Xingran Chen

In NeurIPS 2021, 2021

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Enhancing Natural Language Representation with Large-Scale Out-of-Domain Commonsense

Wanyun Cui, and Xingran Chen

In ACL 2022 Findings, 2021

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