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

Varying Shades of Wrong: Aligning LLMs with Wrong Answers Only

Jihan Yao*, Wenxuan Ding*, Shangbin Feng*, Lucy Lu Wang, Yulia Tsvetkov
ICLR, 2025
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

MIND: Multimodal Shopping Intention Distillation from Large Vision-language Models for E-commerce Purchase Understanding

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.