@article{honglin2026,
title = {AGORA: An Archive-Grounded Benchmark for Agentic Workplace Document Reasoning},
author = {Guo, Honglin and Zhang, Qi and Zhang, Yu and Li, Weijie and Zheng, Rui and Lei, Zhikai and Peng, Qiyuan and Xi, Zhiheng and Gui, Tao},
journal = {Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing},
year = {2026},
month = {Jan},
}
Guo, Honglin et al. (2026). AGORA: An Archive-Grounded Benchmark for Agentic Workplace Document Reasoning. Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing.
Guo, Honglin, et al.. "AGORA: An Archive-Grounded Benchmark for Agentic Workplace Document Reasoning." Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing, 2026.
Guo, Honglin, et al.. "AGORA: An Archive-Grounded Benchmark for Agentic Workplace Document Reasoning." Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing (2026).
Guo, Honglin et al., 2026. AGORA: An Archive-Grounded Benchmark for Agentic Workplace Document Reasoning. Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing.
TY - JOUR
TI - AGORA: An Archive-Grounded Benchmark for Agentic Workplace Document Reasoning
AU - Guo, Honglin
AU - Zhang, Qi
AU - Zhang, Yu
AU - Li, Weijie
AU - Zheng, Rui
AU - Lei, Zhikai
AU - Peng, Qiyuan
AU - Xi, Zhiheng
AU - Gui, Tao
PY - 2026
JO - Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing
ER -