🔗 Who cites «OctoBench: Benchmarking Scaffold-Aware Instruction Following in Repository-Grounded Agentic Coding»

4 papers of our library cite it (of the 149,439 whose bibliographies we read) · 2 with a page here, the most cited first · ← back to «OctoBench: Benchmarking Scaffold-Aware Instruction Following in Repository-Grounded Agentic Coding»

1. Android Coach: Improve Online Agentic Training Efficiency with Single State Multiple ActionsAnnual Meeting of the Association for Computational Linguistics (ACL)Guo Gan, Yuxuan Ding, Cong Chen, et al.2026 · 7 citations
2. LLMEval-Fair: A Large-Scale Longitudinal Study on Robust and Fair Evaluation of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Ming Zhang, Yujiong Shen, Jingyi Deng, et al.2026 · 3 citations

2 more papers of our library cite it; they have no page here yet.

This page in Markdown → https://md.research.elamur.ai/free/en/papers/ding-2026-octobench-benchmarking-scaffold-aware-instruction/cited-by/