Selected Representative Publications
I’m falling behind on tracking all my publications. Google Scholar and Semantic Scholar do much better job at this.
Remark: * indicates equal contribution.
Preprints
Can LLMs Generate Tabular Summaries of Science Papers? Rethinking the Evaluation Protocol.
Weiqi Wang, Jiefu Ou, Yangqiu Song, Benjamin Van Durme, Daniel Khashabi.
Arxiv Preprint, 2025. [pdf], [data]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 Preprint, 2024. [pdf]SessionIntentBench: A Multi-task Inter-Session Intention-Shift Modeling Benchmark for E-commerce Customer Behavior Understanding.
Yuqi Yang*, Weiqi Wang*, Baixuan Xu, Wei Fan, Qing Zong, Chunkit Chan, Zheye Deng, Xin Liu, Yifan Gao, Changlong Yu, Chen Luo, Yang Li, Zheng Li, Qingyu Yin, Bing Yin, Yangqiu Song.
Under Review, 2025.Towards Multi-Agent Reasoning Systems for Collaborative Expertise Delegation: An Exploratory Design Study.
Baixuan Xu*, Chunyang Li*, Weiqi Wang*, Wei Fan, Tianshi Zheng, Haochen Shi, Tao Fan, Yangqiu Song, Qiang Yang.
Arxiv Preprint, 2025. [pdf]InferenceDynamics: Efficient Routing Across LLMs through Structured Capability and Knowledge Profiling.
Haochen Shi*, Tianshi Zheng*, Weiqi Wang*, Baixuan Xu, Chunyang Li, Chunkit Chan, Tao Fan, Yangqiu Song, Qiang Yang.
Arxiv Preprint, 2025.PAINT with Words: A Dataset and Cognitive Framework for Evaluating Visual Creativity.
Hongyu Luo, Weiqi Wang, Haochen Shi, Tianshi Zheng, Qing Zong, Baixuan Xu, Chunyang Li, Yangqiu Song.
Under Review, 2025.Science Hierarchography: Hierarchical Organization of Science Literature.
Muhan Gao, Jash Shah, Weiqi Wang, Daniel Khashabi.
Under Review, 2025. [pdf], [code]EcomEdit: An Automated E-commerce Knowledge Editing Framework for Enhanced Product and Purchase Intention Understanding.
Ching Ming Samuel Lau*, Weiqi Wang*, Haochen Shi, Baixuan Xu, Jiaxin Bai, Yangqiu Song.
Arxiv Preprint, 2024. [pdf]Towards Subgraph Isomorphism Counting with Graph Kernels.
Xin Liu, Weiqi Wang, Jiaxin Bai, Yangqiu Song.
Arxiv Preprint, 2024. [pdf]
Journals
- Acquiring and Modelling Abstract Commonsense Knowledge via Conceptualization.
Mutian He, Tianqing Fang, Weiqi Wang, Yangqiu Song.
Artificial Intelligence, 2024. [pdf], [code]
Conference Proceedings
📜EcomScriptBench: A Multi-task Benchmark for E-commerce Script Planning via Step-wise Intention-Driven Product Association.
Weiqi Wang, Limeng Cui, Xin Liu, Sreyashi Nag, Wenju Xu, Sheikh Sarwar, Chen Luo, Yang Laurence Li, Hansu Gu, Hui Liu, Changlong Yu, Jiaxin Bai, Yifan Gao, Haiyang Zhang, Qi He, Shuiwang Ji, Yangqiu Song.
In Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (ACL-2025), 2025. [pdf]🪐MARS: Benchmarking the Metaphysical Reasoning Abilities of Language Models with a Multi-task Evaluation Dataset.
Weiqi Wang, Yangqiu Song.
In Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (ACL-2025), 2025. [pdf], [data]🕯️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.
In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL-2024). [pdf], [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.
In Findings of the Association for Computational Linguistics: EMNLP 2023 (Findings of EMNLP-2023). [pdf], [code]🐈CAT: A Contextualized Conceptualization and Instantiation Framework for Commonsense Reasoning.
Weiqi Wang*, Tianqing Fang*, Baixuan Xu, Chun Yi Louis Bo, Yangqiu Song, Lei Chen.
In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL-2023, Oral). [pdf], [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.
In Findings of the Association for Computational Linguistics: EMNLP 2024 (Findings of EMNLP-2024). [pdf], [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.
In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP-2024). [pdf], [code]MIKO: Multimodal Intention Knowledge Distillation from Large Language Models for Social-Media Commonsense Discovery.
Feihong Lu*, Weiqi Wang*, Yangyifei Luo, Ziqin Zhu, Qingyun Sun, Baixuan Xu, Haochen Shi, Shiqi Gao, Qian Li, Yangqiu Song, Jianxin Li.
In Proceedings of the 32nd ACM International Conference on Multimedia (ACMMM-2024). [pdf], [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.
In Findings of the Association for Computational Linguistics: EMNLP 2023 (Findings of EMNLP-2023). [pdf], [code]Benchmarking Commonsense Knowledge Base Population with an Effective Evaluation Dataset.
Tianqing Fang*, Weiqi Wang*, Sehyun Choi, Shibo Hao, Hongming Zhang, Yangqiu Song, Bin He.
In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP-2021). [pdf], [code]GoldCoin: Grounding Large Language Models in Privacy Laws via Contextual Integrity Theory.
Wei Fan, Haoran Li, Zheye Deng, Weiqi Wang, Yangqiu Song.
In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP-2024, Outstanding Paper Award). [pdf], [code]ConKE: Conceptualization-Augmented Knowledge Editing in Large Language Models for Commonsense Reasoning.
Liyu Zhang*, Weiqi Wang*, Tianqing Fang, Yangqiu Song.
In Findings of the Association for Computational Linguistics: ACL 2025 (Findings of ACL-2025), 2025. [pdf]Patterns Over Principles: The Fragility of Inductive Reasoning in LLMs under Noisy Observations.
Chunyang Li, Weiqi Wang, Tianshi Zheng, Yangqiu Song.
In Findings of the Association for Computational Linguistics: ACL 2025 (Findings of ACL-2025), 2025. [pdf], [data]Gold: A Global and Local-aware Denoising Framework for Commonsense Knowledge Graph Noise Detection.
Zheye Deng, Weiqi Wang, Zhaowei Wang, Xin Liu, Yangqiu Song.
In Findings of the Association for Computational Linguistics: EMNLP 2023 (Findings of EMNLP-2023). [pdf], [code]FolkScope: Intention Knowledge Graph Construction for E-commerce Commonsense Discovery.
Changlong Yu, Weiqi Wang, Xin Liu, Jiaxin Bai, Yangqiu Song, Zheng Li, Yifan Gao, Tianyu Cao, Bing Yin.
In Findings of the Association for Computational Linguistics: ACL 2023 (Findings of ACL-2023). [pdf], [code]Revisiting Epistemic Markers in Confidence Estimation: Can Markers Accurately Reflect Large Language Models’ Uncertainty?.
Jiayu Liu, Qing Zong, Weiqi Wang, Yangqiu Song.
In Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (ACL-2025), 2025. [pdf], [code]