Wenxuan Ding
Affiliations:- HKUST, Hong Kong, SAR, China
According to our database1,
Wenxuan Ding authored at least 17 papers
between 2023 and 2026.
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Bibliography
2026
Among Us: Measuring and Mitigating Malicious Contributions in Model Collaboration Systems.
CoRR, February, 2026
2025
CoRR, June, 2025
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
On the Role of Entity and Event Level Conceptualization in Generalizable Reasoning: A Survey of Tasks, Methods, Applications, and Future Directions.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025
2024
IntentionQA: A Benchmark for Evaluating Purchase Intention Comprehension Abilities of Language Models in E-commerce.
CoRR, 2024
MIND: Multimodal Shopping Intention Distillation from Large Vision-language Models for E-commerce Purchase Understanding.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
IntentionQA: A Benchmark for Evaluating Purchase Intention Comprehension Abilities of Language Models in E-commerce.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Don't Hallucinate, Abstain: Identifying LLM Knowledge Gaps via Multi-LLM Collaboration.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Proceedings of the Findings of the Association for Computational Linguistics, 2024
CANDLE: Iterative Conceptualization and Instantiation Distillation from Large Language Models for Commonsense Reasoning.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
2023
Knowledge Crosswords: Geometric Reasoning over Structured Knowledge with Large Language Models.
CoRR, 2023
CAR: Conceptualization-Augmented Reasoner for Zero-Shot Commonsense Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
QADYNAMICS: Training Dynamics-Driven Synthetic QA Diagnostic for Zero-Shot Commonsense Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023