Shengwei Xu, Zhaohua Chen, Xiaotie Deng, Zhiyi Huang, and Grant Schoenebeck. (2025). "Ad Insertion in LLM-Generated Responses." Workshop on Frontiers of Online Advertising at the 26th ACM Conference on Economics and Computation (EC 2025).
Yichi Zhang, Shengwei Xu, David Pennock, and Grant Schoenebeck. (2025). "Stochastically Dominant Peer Prediction." Advances in Neural Information Processing Systems (NeurIPS 2025).
Shengwei Xu, Yuxuan Lu, Grant Schoenebeck, and Yuqing Kong. (2025). "Benchmarking LLMs' Judgments with No Gold Standard." Proceedings of the Thirteenth International Conference on Learning Representations (ICLR 2025).
Yuxuan Lu, Shengwei Xu, Yichi Zhang, Yuqing Kong, and Grant Schoenebeck. (2024). "Eliciting Informative Text Evaluations with Large Language Models." Proceedings of the 25th ACM Conference on Economics and Computation (EC 2024).
Shengwei Xu, Yichi Zhang, Paul Resnick, and Grant Schoenebeck. (2024). "Spot Check Equivalence: An Interpretable Metric for Information Elicitation Mechanisms." Proceedings of the ACM Web Conference 2024 (WWW 2024).
Zhihuan Huang, Yuqing Kong, Tracy Xiao Liu, Grant Schoenebeck, and Shengwei Xu. (2022). "BONUS! Maximizing Surprise." Proceedings of the ACM Web Conference 2022 (WWW 2022).
Zhihuan Huang, Shengwei Xu, You Shan, Yuxuan Lu, Yuqing Kong, Tracy Xiao Liu, and Grant Schoenebeck. (2021). "SURPRISE! and When to Schedule It." Proceedings of the 30th International Joint Conference on Artificial Intelligence (IJCAI 2021).