---
title: "Who cites OctoBench: Benchmarking — 4 citing papers"
description: "4 papers of the Elamur Research library cite «OctoBench: Benchmarking Scaffold-Aware Instruction Following in Repository-Grounded…"
canonical: "https://research.elamur.ai/free/en/papers/ding-2026-octobench-benchmarking-scaffold-aware-instruction/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/ding-2026-octobench-benchmarking-scaffold-aware-instruction/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [OctoBench: Benchmarking Scaffold-Aware…](https://md.research.elamur.ai/free/en/papers/ding-2026-octobench-benchmarking-scaffold-aware-instruction/) / cited by

# 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»](https://md.research.elamur.ai/free/en/papers/ding-2026-octobench-benchmarking-scaffold-aware-instruction/)

1. **[Android Coach: Improve Online Agentic Training Efficiency with Single State Multiple Actions](https://md.research.elamur.ai/free/en/papers/gan-2026-android-coach-improve-online-agentic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/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 Models](https://md.research.elamur.ai/free/en/papers/zhang-2026-llmeval-fair-large-scale-longitudinal/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/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.

- [← back to](https://md.research.elamur.ai/free/en/papers/ding-2026-octobench-benchmarking-scaffold-aware-instruction/) — OctoBench: Benchmarking Scaffold-Aware Instruction Following in Repository-Grounded Agentic Coding