---
title: "Who cites Alignment for Efficient Tool Calling — 7 citing papers"
description: "7 papers of the Elamur Research library cite «Alignment for Efficient Tool Calling of Large Language Models», found in their bibliographies…"
canonical: "https://research.elamur.ai/free/en/papers/xu-2025-alignment-efficient-tool-calling-large/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/xu-2025-alignment-efficient-tool-calling-large/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Alignment for Efficient Tool Calling of Large…](https://md.research.elamur.ai/free/en/papers/xu-2025-alignment-efficient-tool-calling-large/) / cited by

# Who cites «Alignment for Efficient Tool Calling of Large Language Models»

7 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 «Alignment for Efficient Tool Calling of Large Language Models»](https://md.research.elamur.ai/free/en/papers/xu-2025-alignment-efficient-tool-calling-large/)

1. **[CreativeBench: Benchmarking and Enhancing Machine Creativity via Self-Evolving Challenges](https://md.research.elamur.ai/free/en/papers/wang-2026-creativebench-benchmarking-enhancing-machine-creativity/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zihan Wang, Lam Nguyen, Zhengyang Zhao, et al.*2026 · 6 citations*
2. **[Learning from Contrasts: Synthesizing Reasoning Paths from Diverse Search Trajectories](https://md.research.elamur.ai/free/en/papers/liu-2026-learning-contrasts-synthesizing-reasoning-paths/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Peiyang Liu, Zhirui Chen, Xi Wang, et al.*2026 · 1 citation*
3. **[DORA: A Dual-Objective Reinforcement Learning Framework for Effective and Efficient Multimodal Agentic Search](https://md.research.elamur.ai/free/en/papers/qin-2026-dora-dual-objective-reinforcement-learning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Guangming Qin, Yuhao Deng, Yukun Zhao, et al.*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/xu-2025-alignment-efficient-tool-calling-large/) — Alignment for Efficient Tool Calling of Large Language Models