---
title: "Who cites GameBench: Evaluating Strategic — 18 citing papers"
description: "18 papers of the Elamur Research library cite «GameBench: Evaluating Strategic Reasoning Abilities of LLM Agents», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/costarelli-2024-gamebench-evaluating-strategic-reasoning-abilities/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [GameBench: Evaluating Strategic Reasoning…](https://md.research.elamur.ai/free/en/papers/costarelli-2024-gamebench-evaluating-strategic-reasoning-abilities/) / cited by

# Who cites «GameBench: Evaluating Strategic Reasoning Abilities of LLM Agents»

18 papers of our library cite it (of the 149,439 whose bibliographies we read) · 4 with a page here, the most cited first · [← back to «GameBench: Evaluating Strategic Reasoning Abilities of LLM Agents»](https://md.research.elamur.ai/free/en/papers/costarelli-2024-gamebench-evaluating-strategic-reasoning-abilities/)

1. **[Uncertainty Quantification in LLM Agents: Foundations, Emerging Challenges, and Opportunities](https://md.research.elamur.ai/free/en/papers/oh-2026-uncertainty-quantification-llm-agents-foundations/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Changdae Oh, Seongheon Park, To Eun Kim, et al.*2026 · 4 citations*
2. **[V-MAGE: A Game Evaluation Framework for Assessing Vision-Centric Capabilities in Multimodal Large Language Models](https://md.research.elamur.ai/free/en/papers/zheng-2026-v-mage-game-evaluation-framework/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xiangxi Zheng, Linjie Li, Zhengyuan Yang, et al.*2026 · 2 citations*
3. **[Cards Against Contamination: TCG-Bench for Difficulty-Scalable Multilingual LLM Reasoning](https://md.research.elamur.ai/free/en/papers/alrashed-2026-cards-against-contamination-tcg-bench/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Sultan AlRashed, Jianghui Wang, Francesco Orabona*2026*
4. **[Communication Enables Cooperation in LLM Agents: A Comparison with Curriculum-Based Approaches](https://md.research.elamur.ai/free/en/papers/madmoun-2026-communication-enables-cooperation-llm-agents/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Hachem Madmoun, Salem Lahlou*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/costarelli-2024-gamebench-evaluating-strategic-reasoning-abilities/) — GameBench: Evaluating Strategic Reasoning Abilities of LLM Agents