Wenxuan Ding

Hi, y'all! I am a first year Ph.D. student at TAUR Lab @UT Austin, working with Professor Greg Durrett.

Previously, I received my Bachelor's degree at The Hong Kong University of Science and Technology with a major in CS and a minor in Math, where I worked with Professor Yangqiu Song. I also worked with Professor Yulia Tsvetkov at University of Washington.

Email / CV / Google Scholar / Twitter / Github

Research

I do research in in Natural Language Processing, specifically interested in topics on:

Reasoning 💭
Interpretability 🔍
Alignment 🎯

Publications Yellow background indicates lead/co-lead.
	Varying Shades of Wrong: Aligning LLMs with Wrong Answers Only Jihan Yao, Wenxuan Ding, Shangbin Feng, Lucy Lu Wang, Yulia Tsvetkov arXiv*, 2024. code
	Teaching LLMs to Abstain across Languages via Multilingual Feedback Shangbin Feng, Weijia Shi, Yike Wang, Wenxuan Ding, Orevaoghene Ahia, Shuyue Stella Li, Vidhisha Balachandran, Sunayana Sitaram, Yulia Tsvetkov EMNLP, 2024. code
	MIND: Multimodal Shopping Intention Distillation from Large Vision-language Models for E-commerce Purchase Understanding Baixuan Xu, Weiqi Wang, Haochen Shi, Wenxuan Ding, Huihao Jing, Tianqing Fang, Jiaxin Bai, Xin Liu, Changlong Yu, Zheng Li, Chen Luo, Qingyu Yin, Bing Yin, Long Chen, Yangqiu Song EMNLP, 2024. code
	IntentionQA: A Benchmark for Evaluating Purchase Intention Comprehension Abilities of Language Models in E-commerce Wenxuan Ding, Weiqi Wang, Sze Heng Douglas Kwok, Minghao Liu, Tianqing Fang, Jiaxin Bai, Xin Liu, Changlong Yu, Zheng Li, Chen Luo, Qingyu Yin, Bing Yin, Junxian He, Yangqiu Song Findings of EMNLP, 2024. code
	On the Role of Entity and Event Level Conceptualization in Generalizable Reasoning: A Survey of Tasks, Methods, Applications, and Future Directions Weiqi Wang, Tianqing Fang, Haochen Shi, Baixuan Xu, Wenxuan Ding, Liyu Zhang, Wei Fan, Jiaxin Bai, Haoran Li, Xin Liu, Yangqiu Song arXiv*, 2024.
	Don't Hallucinate, Abstain: Identifying LLM Knowledge Gaps via Multi-LLM Collaboration Shangbin Feng, Weijia Shi, Yike Wang, Wenxuan Ding, Vidhisha Balachandran, Yulia Tsvetkov ACL, 2024. Area Chair Award; Outstanding Paper Award code
	CANDLE: Iterative Conceptualization and Instantiation Distillation from Large Language Models for Commonsense Reasoning Weiqi Wang, Tianqing Fang, Chunyang Li, Haochen Shi, Wenxuan Ding, Baixuan Xu, Zhaowei Wang, Jiaxin Bai, Xin Liu, Jiayang Cheng, Chunkit Chan, Yangqiu Song ACL, 2024. code
	Knowledge Crosswords: Geometric Knowledge Reasoning with Large Language Models Wenxuan Ding, Shangbin Feng, Yuhan Liu, Zhaoxuan Tan, Vidhisha Balachandran, Tianxing He, Yulia Tsvetkov Findings of ACL, 2024. code
	CAR: Conceptualization-Augmented Reasoner for Zero-Shot Commonsense Question Answering Weiqi Wang, Tianqing Fang, Wenxuan Ding, Baixuan Xu, Xin Liu, Yangqiu Song, Antoine Bosselut Fingdings of EMNLP, 2023. code
	QADYNAMICS: Training Dynamics-Driven Synthetic QA Diagnostic for Zero-Shot Commonsense Question Answering Haochen Shi, Weiqi Wang, Tianqing Fang, Baixuan Xu, Wenxuan Ding, Xin Liu, Yangqiu Song Fingdings of EMNLP, 2023. code

Teaching

Undergraduate Teaching Assistant of COMP2211 Exploring Artificial Intelligence (Fall 2023)

Misc

My Chinese name is 丁文萱.

Website template by Jon Barron.

Research

Publications

Teaching

Misc