@article{qianqian2026,
title = {DR$^3$-Eval: Towards Realistic and Reproducible Deep Research Evaluation},
author = {Xie, Qianqian and Zhu, He and Han, Xueming and Xiong, Qingheng and Xia, Tiantian and Meng, Fanyu and Wang, Jiakai and Bai, Zhiqi and Jiang, Chengkang and Wang, Zhaohui and Guo, Yubin and Wen, Yuqing and Mao, Jiayang and Zhang, Zijie and Li, Shihao and Wang, Yanghai and Ren, Yuxiang and Feng, Junlan and Liu, Jiaheng},
journal = {Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing},
year = {2026},
month = {Jan},
doi = {10.18653/2026.emnlp-main.1691},
url = {https://doi.org/10.18653/2026.emnlp-main.1691},
}
Xie, Qianqian et al. (2026). DR$^3$-Eval: Towards Realistic and Reproducible Deep Research Evaluation. Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing. https://doi.org/10.18653/2026.emnlp-main.1691
Xie, Qianqian, et al.. "DR$^3$-Eval: Towards Realistic and Reproducible Deep Research Evaluation." Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing, 2026, https://doi.org/10.18653/2026.emnlp-main.1691.
Xie, Qianqian, et al.. "DR$^3$-Eval: Towards Realistic and Reproducible Deep Research Evaluation." Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing (2026). https://doi.org/10.18653/2026.emnlp-main.1691
Xie, Qianqian et al., 2026. DR$^3$-Eval: Towards Realistic and Reproducible Deep Research Evaluation. Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing. Available at: <https://doi.org/10.18653/2026.emnlp-main.1691>.
TY - JOUR
TI - DR$^3$-Eval: Towards Realistic and Reproducible Deep Research Evaluation
AU - Xie, Qianqian
AU - Zhu, He
AU - Han, Xueming
AU - Xiong, Qingheng
AU - Xia, Tiantian
AU - Meng, Fanyu
AU - Wang, Jiakai
AU - Bai, Zhiqi
AU - Jiang, Chengkang
AU - Wang, Zhaohui
AU - Guo, Yubin
AU - Wen, Yuqing
AU - Mao, Jiayang
AU - Zhang, Zijie
AU - Li, Shihao
AU - Wang, Yanghai
AU - Ren, Yuxiang
AU - Feng, Junlan
AU - Liu, Jiaheng
PY - 2026
JO - Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing
DO - 10.18653/2026.emnlp-main.1691
UR - https://doi.org/10.18653/2026.emnlp-main.1691
ER -