---
title: "Who cites FireAct: Toward Language Agent Fine-tuning"
description: "91 papers of the Elamur Research library cite «FireAct: Toward Language Agent Fine-tuning», found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/papers/chen-2023-fireact-toward-language-agent-fine/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [FireAct: Toward Language Agent Fine-tuning](https://md.research.elamur.ai/free/en/papers/chen-2023-fireact-toward-language-agent-fine/) / cited by

# Who cites «FireAct: Toward Language Agent Fine-tuning»

91 papers of our library cite it (of the 141,840 whose bibliographies we read) · 5 with a page here, the most cited first · [← back to «FireAct: Toward Language Agent Fine-tuning»](https://md.research.elamur.ai/free/en/papers/chen-2023-fireact-toward-language-agent-fine/)

1. **[CogAgent: A Visual Language Model for GUI Agents](https://md.research.elamur.ai/free/en/papers/hong-2023-cogagent-visual-language-model/) [IEEE Computer Society Conference on Computer Vision and Pattern Recognition](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/)**Wenyi Hong, Weihan Wang, Qingsong Lv, et al.*2023 · 353 citations*
2. [**Executable Code Actions Elicit Better LLM Agents arXiv:2402.01030**Xingyao Wang, Yangyi Chen, Lifan Yuan, et al.*2024 · 143 citations*](https://md.research.elamur.ai/free/en/papers/wang-2024-executable-code-actions-elicit-better/)
3. [**Quiet-STaR: Language models can teach themselves to think before speaking***2024 · 113 citations*](https://md.research.elamur.ai/free/en/papers/al-2024-quiet-star-language-models-teach/)
4. **[xLAM: A Family of Large Action Models to Empower AI Agent Systems](https://md.research.elamur.ai/free/en/papers/zhang-2025-xlam-family-large-action-models/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Jianguo Zhang, Tian Lan, Ming Zhu, et al.*2025 · 67 citations*
5. **[Agent-FLAN: Designing Data and Methods of Effective Agent Tuning for Large Language Models](https://md.research.elamur.ai/free/en/papers/chen-2024-agent-flan-designing-data-methods/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zehui Chen, Kuikun Liu, Qiuchen Wang, et al.*2024 · 63 citations*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/chen-2023-fireact-toward-language-agent-fine/) — FireAct: Toward Language Agent Fine-tuning