---
title: "Who cites MultiAgentBench: Evaluating the — 34 citing papers"
description: "34 papers of the Elamur Research library cite «MultiAgentBench: Evaluating the Collaboration and Competition of LLM agents», found in their…"
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---
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# Who cites «MultiAgentBench: Evaluating the Collaboration and Competition of LLM agents»

34 papers of our library cite it (of the 149,439 whose bibliographies we read) · 11 with a page here, the most cited first · [← back to «MultiAgentBench: Evaluating the Collaboration and Competition of LLM agents»](https://md.research.elamur.ai/free/en/papers/zhu-2025-multiagentbench-evaluating-collaboration-competition/)

1. **[Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models](https://md.research.elamur.ai/free/en/papers/chen-2025-towards-reasoning-era-survey-long/) [Science China Information Sciences](https://md.research.elamur.ai/free/en/venues/science-china-information-sciences/)**Qiguang Chen, Libo Qin, Jinhao Liu, et al.*2025 · 176 citations*
2. [**τ²-Bench: Evaluating Conversational Agents in a Dual-Control Environment arXiv:2506.07982**Victor Barres, Honghua Dong, Soham Ray, et al.*2025 · 76 citations*](https://md.research.elamur.ai/free/en/papers/barres-2025-tau-2-bench-evaluating-conversational/)
3. [**A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence arXiv:2507.21046**Huan-ang Gao, Jiayi Geng, Wenyue Hua, et al.*2025 · 36 citations*](https://md.research.elamur.ai/free/en/papers/gao-2025-survey-self-evolving-agents-where/)
4. **[Lightweight LLM Agent Memory with Small Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2026-lightweight-llm-agent-memory-small/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jiaquan Zhang, Chaoning Zhang, Shuxu Chen, et al.*2026 · 6 citations*
5. **[PAC-BENCH: Evaluating Multi-Agent Collaboration under Privacy Constraints](https://md.research.elamur.ai/free/en/papers/park-2026-pac-bench-evaluating-multi-agent/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Minjun Park, Donghyun Kim, Hyeonjong Ju, et al.*2026 · 1 citation*
6. **[Verification-Aware Planning for Multi-Agent Systems](https://md.research.elamur.ai/free/en/papers/xu-2026-verification-aware-planning-multi-agent/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Tianyang Xu, Dan Zhang, Kushan Mitra, et al.*2026 · 1 citation*
7. **[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*
8. **[CORE: Measuring Multi-Agent LLM Interaction Quality under Game-Theoretic Pressures](https://md.research.elamur.ai/free/en/papers/pandey-2026-core-measuring-multi-agent-llm/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Punya Syon Pandey, Yongjin Yang, Jiarui Liu, et al.*2026*
9. **[Evo-Attacker: Memory-Augmented Reinforcement Learning for Long-Horizon Tool Attacks on LLM-MAS](https://md.research.elamur.ai/free/en/papers/yan-2026-evo-attacker-memory-augmented-reinforcement/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Bingyu Yan, Xiaoming Zhang, JinYu Hou, et al.*2026*
10. **[Market-Bench: Benchmarking Large Language Models on Economic and Trade Competition](https://md.research.elamur.ai/free/en/papers/zheng-2026-market-bench-benchmarking-large-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yushuo Zheng, Huiyu Duan, Zicheng Zhang, et al.*2026*
11. **[ReCoQA: A Benchmark for Tool-Augmented and Multi-Step Reasoning in Real Estate Question and Answering](https://md.research.elamur.ai/free/en/papers/zhang-2026-recoqa-benchmark-tool-augmented-multi/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yindong Zhang, Wenmian Yang, Yiquan Zhang, et al.*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/zhu-2025-multiagentbench-evaluating-collaboration-competition/) — MultiAgentBench: Evaluating the Collaboration and Competition of LLM agents
