---
title: "Who cites Examining Inter-Consistency of — 53 citing papers"
description: "53 papers of the Elamur Research library cite «Examining Inter-Consistency of Large Language Models Collaboration: An In-depth Analysis…"
canonical: "https://research.elamur.ai/free/en/papers/xiong-2023-examining-inter-consistency-large-language/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Examining Inter-Consistency of Large Language…](https://md.research.elamur.ai/free/en/papers/xiong-2023-examining-inter-consistency-large-language/) / cited by

# Who cites «Examining Inter-Consistency of Large Language Models Collaboration: An In-depth Analysis via Debate»

53 papers of our library cite it (of the 141,840 whose bibliographies we read) · 4 with a page here, the most cited first · [← back to «Examining Inter-Consistency of Large Language Models Collaboration: An In-depth Analysis via Debate»](https://md.research.elamur.ai/free/en/papers/xiong-2023-examining-inter-consistency-large-language/)

1. [**Large Language Model based Multi-Agents: A Survey of Progress and Challenges arXiv:2402.01680**Taicheng Guo, Xiuying Chen, Yaqi Wang, et al.*2024 · 282 citations*](https://md.research.elamur.ai/free/en/papers/guo-2024-large-language-model-based/)
2. [**Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs arXiv:2412.21187**Xingyu Chen, Jiahao Xu, Tian Liang, et al.*2024 · 188 citations*](https://md.research.elamur.ai/free/en/papers/chen-2024-think-that-much-2-3/) **[Self-Contrast: Better Reflection Through Inconsistent Solving Perspectives](https://md.research.elamur.ai/free/en/papers/zhang-2024-self-contrast-better-reflection-through/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wenqi Zhang, Yongliang Shen, Linjuan Wu, et al.*2024 · 75 citations* **[Multi-Agent Debate for Machine Translation: A Case Study on English-Japanese Translation](https://md.research.elamur.ai/free/en/papers/shen-2026-multi-agent-debate-machine-translation/) [Annual Conference of the European Association for Machine Translation (EAMT)](https://md.research.elamur.ai/free/en/venues/eamt/)**Zhan Shen, Jason Naradowsky, Xiaotian Wang, et al.*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/xiong-2023-examining-inter-consistency-large-language/) — Examining Inter-Consistency of Large Language Models Collaboration: An In-depth Analysis via Debate