---
title: "Who cites SWE-Search: Enhancing — 20 citing papers"
description: "20 papers of the Elamur Research library cite «SWE-Search: Enhancing Software Agents with Monte Carlo Tree Search and Iterative…"
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---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [SWE-Search: Enhancing Software Agents with Monte…](https://md.research.elamur.ai/free/en/papers/antoniades-2024-swe-search-enhancing-software-agents/) / cited by

# Who cites «SWE-Search: Enhancing Software Agents with Monte Carlo Tree Search and Iterative Refinement»

20 papers of our library cite it (of the 149,439 whose bibliographies we read) · 8 with a page here, the most cited first · [← back to «SWE-Search: Enhancing Software Agents with Monte Carlo Tree Search and Iterative Refinement»](https://md.research.elamur.ai/free/en/papers/antoniades-2024-swe-search-enhancing-software-agents/)

1. [**MLGym: A New Framework and Benchmark for Advancing AI Research Agents arXiv:2502.14499**Deepak Nathani, Lovish Madaan, Nicholas Roberts, et al.*2025 · 50 citations*](https://md.research.elamur.ai/free/en/papers/nathani-2025-mlgym-new-framework-benchmark/)
2. **[APIGen-MT: Agentic Pipeline for Multi-Turn Data Generation via Simulated Agent-Human Interplay](https://md.research.elamur.ai/free/en/papers/prabhakar-2025-apigen-mt-agentic-pipeline-multi/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Akshara Prabhakar, Zuxin Liu, Ming Zhu, et al.*2025 · 36 citations*
3. **[Don't Act Blindly: Robust GUI Automation via Action-Effect Verification and Self-Correction](https://md.research.elamur.ai/free/en/papers/zhang-2026-don-t-act-blindly-robust/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuzhe Zhang, Xianwei Xue, Xingyong Wu, et al.*2026 · 5 citations*
4. **[DARS: Dynamic Action Re-Sampling to Enhance Coding Agent Performance by Adaptive Tree Traversal](https://md.research.elamur.ai/free/en/papers/aggarwal-2025-dars-dynamic-action-re-sampling/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Vaibhav Aggarwal, Ojasv Kamal, Abhinav Japesh, et al.*2025 · 4 citations*
5. **[EGSS: Entropy-guided Stepwise Scaling for Reliable Software Engineering](https://md.research.elamur.ai/free/en/papers/mao-2026-egss-entropy-guided-stepwise-scaling/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chenhui Mao, Yuanting Lei, Zhixiang Wei, et al.*2026*
6. **[Mango: Multi-Agent Web Navigation via Global-View Optimization](https://md.research.elamur.ai/free/en/papers/tong-2026-mango-multi-agent-web-navigation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Weixi Tong, Yifeng Di, Tianyi Zhang*2026*
7. **[SeDev: Structured Semantic Exploration for LLM-Driven Code Generation](https://md.research.elamur.ai/free/en/papers/yang-2026-sedev-structured-semantic-exploration-llm/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ronghui Yang, Jie Liu, Jiajie Zeng, et al.*2026*
8. **[Survey on Code Generation with LLM-based Agents (基于大语言模型智能体的代码生成综述)](https://md.research.elamur.ai/free/en/papers/dong-2025-code-generation-llm/) [Journal of Software](https://md.research.elamur.ai/free/en/venues/journal-of-software/)**Yihong Dong (董益宏), Xue Jiang (姜雪), Jiaru Qian (钱家如), et al.*2025*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/antoniades-2024-swe-search-enhancing-software-agents/) — SWE-Search: Enhancing Software Agents with Monte Carlo Tree Search and Iterative Refinement