Beyond Factual Knowledge: Benchmarking and Learning Step-Level Procedural Rule Reasoning in Large Language Models

@article{bohan2026,
  title = {Beyond Factual Knowledge: Benchmarking and Learning Step-Level Procedural Rule Reasoning in Large Language Models},
  author = {Yu, Bohan and Cao, Pengfei and Han, Chen and Zhou, Chenxi and Zhang, Zhiheng and Xie, Zhiyang and Teng, Wenhao and Liao, Xiangwen and Zhao, Jun and Liu, Kang},
  journal = {Findings of the Association for Computational Linguistics: EMNLP 2026},
  year = {2026},
  month = {Jan},
  doi = {10.18653/2026.findings-emnlp.435},
  url = {https://doi.org/10.18653/2026.findings-emnlp.435},
}

Yu, Bohan et al. (2026). Beyond Factual Knowledge: Benchmarking and Learning Step-Level Procedural Rule Reasoning in Large Language Models. Findings of the Association for Computational Linguistics: EMNLP 2026. https://doi.org/10.18653/2026.findings-emnlp.435

Yu, Bohan, et al.. "Beyond Factual Knowledge: Benchmarking and Learning Step-Level Procedural Rule Reasoning in Large Language Models." Findings of the Association for Computational Linguistics: EMNLP 2026, 2026, https://doi.org/10.18653/2026.findings-emnlp.435.

Yu, Bohan, et al.. "Beyond Factual Knowledge: Benchmarking and Learning Step-Level Procedural Rule Reasoning in Large Language Models." Findings of the Association for Computational Linguistics: EMNLP 2026 (2026). https://doi.org/10.18653/2026.findings-emnlp.435

Yu, Bohan et al., 2026. Beyond Factual Knowledge: Benchmarking and Learning Step-Level Procedural Rule Reasoning in Large Language Models. Findings of the Association for Computational Linguistics: EMNLP 2026. Available at: <https://doi.org/10.18653/2026.findings-emnlp.435>.

TY  - JOUR
TI  - Beyond Factual Knowledge: Benchmarking and Learning Step-Level Procedural Rule Reasoning in Large Language Models
AU  - Yu, Bohan
AU  - Cao, Pengfei
AU  - Han, Chen
AU  - Zhou, Chenxi
AU  - Zhang, Zhiheng
AU  - Xie, Zhiyang
AU  - Teng, Wenhao
AU  - Liao, Xiangwen
AU  - Zhao, Jun
AU  - Liu, Kang
PY  - 2026
JO  - Findings of the Association for Computational Linguistics: EMNLP 2026
DO  - 10.18653/2026.findings-emnlp.435
UR  - https://doi.org/10.18653/2026.findings-emnlp.435
ER  -