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Career

· PhD Student, New York University (Courant Institute)2023–
· PhD Student, TAUR Lab @ UT Austin2022–2023
· Bachelor of Science in Computer Science, The Hong Kong University of Science and Technology
· Researcher, University of Washington

Publications (21)

CAR: Conceptualization-Augmented Reasoner for Zero-Shot Commonsense Question Answering
Conference on Empirical Methods in Natural Language Processing · 2023
45
cited
CANDLE: Iterative Conceptualization and Instantiation Distillation from Large Language Models for Commonsense Reasoning
Annual Meeting of the Association for Computational Linguistics · 2024
41
cited
When One LLM Drools, Multi-LLM Collaboration Rules
arXiv.org · 2025
21
cited
MIND: Multimodal Shopping Intention Distillation from Large Vision-language Models for E-commerce Purchase Understanding
Conference on Empirical Methods in Natural Language Processing · 2024
15
cited
IntentionQA: A Benchmark for Evaluating Purchase Intention Comprehension Abilities of Language Models in E-commerce
Conference on Empirical Methods in Natural Language Processing · 2024
11
cited
Knowledge Crosswords: Geometric Knowledge Reasoning with Large Language Models
Annual Meeting of the Association for Computational Linguistics · 2023
8
cited
QADYNAMICS: Training Dynamics-Driven Synthetic QA Diagnostic for Zero-Shot Commonsense Question Answering
Conference on Empirical Methods in Natural Language Processing · 2023
7
cited
Knowledge Crosswords: Geometric Reasoning over Structured Knowledge with Large Language Models
arXiv.org · 2023
4
cited
On the Role of Entity and Event Level Conceptualization in Generalizable Reasoning: A Survey of Tasks, Methods, Applications, and Future Directions
Conference on Empirical Methods in Natural Language Processing · 2024
4
cited
Varying Shades of Wrong: Aligning LLMs with Wrong Answers Only
International Conference on Learning Representations · 2024
4
cited
MoCo: A One-Stop Shop for Model Collaboration Research
2026
2
cited
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Wenxuan Ding | Researcher Profile | Sotabase | Sotabase