--- title: "Who cites Generating Code World Models — 12 citing papers" description: "12 papers of the Elamur Research library cite «Generating Code World Models with Large Language Models Guided by Monte Carlo Tree…" canonical: "https://research.elamur.ai/free/en/papers/dainese-2024-generating-code-world-models/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/dainese-2024-generating-code-world-models/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Generating Code World Models with Large Language…](https://md.research.elamur.ai/free/en/papers/dainese-2024-generating-code-world-models/) / cited by # Who cites «Generating Code World Models with Large Language Models Guided by Monte Carlo Tree Search» 12 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 «Generating Code World Models with Large Language Models Guided by Monte Carlo Tree Search»](https://md.research.elamur.ai/free/en/papers/dainese-2024-generating-code-world-models/) 1. **[MAPRO: Recasting Multi-Agent Prompt Optimization as Maximum a Posteriori Inference](https://md.research.elamur.ai/free/en/papers/zhang-2026-mapro-recasting-multi-agent-prompt/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zheyuan Zhang, Lin Ge, Hongjiang Li, et al.*2026 · 3 citations* 2. **[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* 10 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/dainese-2024-generating-code-world-models/) — Generating Code World Models with Large Language Models Guided by Monte Carlo Tree Search