Ma, Xueguang

Precise Zero-Shot Dense Retrieval without Relevance Labels

Gao, L., Ma, X., Lin, J., & Callan, J. (2023) · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Information Retrieval and Search BehaviorTopic Modeling

Cited by 362

Precise Zero-Shot Dense Retrieval without Relevance Labels

Gao, L., Ma, X., Lin, J., & Callan, J. (2022) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 362

Pyserini: A Python toolkit for reproducible information retrieval research with sparse and dense representations

Lin, J., Ma, X., Lin, S.-C., Yang, J.-H., Pradeep, R., & Nogueira, R. (2021) · Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval

Information Retrieval and Search BehaviorTopic Modeling

Cited by 360

MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark

Wang, Y., Ma, X., Zhang, G., Ni, Y., Chandra, A., Guo, S., Ren, W., Arulraj, A., He, X., Jiang, Z., et al. (2024) · Advances in Neural Information Processing Systems 37

Topic ModelingNatural Language Processing Techniques

Cited by 131

MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark

Wang, Y., Ma, X., Zhang, G., Ni, Y., Chandra, A., Guo, S., Ren, W., Arulraj, A., He, X., Jiang, Z., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 131

Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks

Chen, W., Ma, X., Wang, X., & Cohen, W. W. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 125

BrowseComp-Plus: A More Fair and Transparent Evaluation Benchmark of Deep-Research Agent

Chen, Z., Ma, X., Zhuang, S., Nie, P., Zou, K., Liu, A., Green, J., Patel, K., Meng, R., Su, M., et al. (2025) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 3