---
title: "Who cites Towards Hierarchical Multi-Step — 10 citing papers"
description: "10 papers of the Elamur Research library cite «Towards Hierarchical Multi-Step Reward Models for Enhanced Reasoning in Large Language…"
canonical: "https://research.elamur.ai/free/en/papers/wang-2026-hierarchical-multi-step-reward-models/cited-by/"
---
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# Who cites «Towards Hierarchical Multi-Step Reward Models for Enhanced Reasoning in Large Language Models»

10 papers of our library cite it (of the 149,439 whose bibliographies we read) · 3 with a page here, the most cited first · [← back to «Towards Hierarchical Multi-Step Reward Models for Enhanced Reasoning in Large Language Models»](https://md.research.elamur.ai/free/en/papers/wang-2026-hierarchical-multi-step-reward-models/)

1. **[ColorBrowserAgent: Complex Long-Horizon Browser Agent with Adaptive Knowledge Evolution](https://md.research.elamur.ai/free/en/papers/wang-2026-colorbrowseragent-complex-long-horizon-browser/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jihong Wang, Jiamu Zhou, Weiming Zhang, et al.*2026 · 1 citation*
2. **[A Comprehensive Survey of Process Reward Models: Data Generation, Model Construction, and Usage](https://md.research.elamur.ai/free/en/papers/zheng-2026-comprehensive-survey-process-reward-models/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Congmin Zheng, Jiachen Zhu, Zhuoying Ou, et al.*2026*
3. **[Beyond Reasoning Gains: Mitigating General-Capability Forgetting in Large Reasoning Models](https://md.research.elamur.ai/free/en/papers/phan-2026-beyond-reasoning-gains-mitigating-general/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hoang Phan, Xianjun Yang, Yuanshun Yao, et al.*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/wang-2026-hierarchical-multi-step-reward-models/) — Towards Hierarchical Multi-Step Reward Models for Enhanced Reasoning in Large Language Models