🔗 Who cites «Mixture-of-Agents Enhances Large Language Model Capabilities»

90 papers of our library cite it (of the 149,439 whose bibliographies we read) · 26 with a page here, the most cited first · ← back to «Mixture-of-Agents Enhances Large Language Model Capabilities»

1. Large Language Monkeys: Scaling Inference Compute with Repeated SamplingarXiv:2407.21787Bradley Brown, Jordan Juravsky, Ryan Ehrlich, et al.2024 · 270 citations
2. Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language ModelsScience China Information SciencesQiguang Chen, Libo Qin, Jinhao Liu, et al.2025 · 176 citations
3. A Survey on Test-Time Scaling in Large Language Models: What, How, Where, and How Well?arXiv:2503.24235Qiyuan Zhang, Fuyuan Lyu, Zexu Sun, et al.2025 · 79 citations
4. AgentDropout: Dynamic Agent Elimination for Token-Efficient and High-Performance LLM-Based Multi-Agent CollaborationAnnual Meeting of the Association for Computational Linguistics (ACL)Zhexuan Wang, Yutong Wang, Xuebo Liu, et al.2025 · 29 citations
5. MemInsight: Autonomous Memory Augmentation for LLM AgentsConference on Empirical Methods in Natural Language Processing (EMNLP)Rana Salama, Jason Cai, Michelle Yuan, et al.2025 · 22 citations
6. Nature-Inspired Population-Based Evolution of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yiqun Zhang, Peng Ye, Xiaocui Yang, et al.2026 · 8 citations
7. EmoMAS: Emotion-Aware Multi-Agent System for High-Stakes Edge-Deployable Negotiation with Bayesian OrchestrationAnnual Meeting of the Association for Computational Linguistics (ACL)Yunbo Long, Yuhan Liu, Liming Xu2026 · 6 citations
8. PaCoRe: Learning to Scale Test-Time Compute with Parallel Coordinated ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Jingcheng Hu, Yinmin Zhang, Shijie Shang, et al.2026 · 5 citations
9. MAPRO: Recasting Multi-Agent Prompt Optimization as Maximum a Posteriori InferenceFindings of the Association for Computational LinguisticsZheyuan Zhang, Lin Ge, Hongjiang Li, et al.2026 · 3 citations
10. Multi-LLM Collaborative Search for Complex Problem SolvingFindings of the Association for Computational LinguisticsSen Yang, Yafu Li, Wai Lam, et al.2026 · 3 citations
11. Self-Evolving Multi-Agent Systems via Textual BackpropagationFindings of the Association for Computational LinguisticsXiaowen Ma, Yunpu Ma, Chenyang Lin, et al.2026 · 3 citations
12. Efficient Multi-Agent System Training with Data Influence-Oriented Tree SearchAnnual Meeting of the Association for Computational Linguistics (ACL)Wentao Shi, Zichun Yu, Fuli Feng, et al.2026 · 2 citations
13. Harnessing Consistency for Robust Test-Time LLM EnsembleFindings of the Association for Computational LinguisticsZhichen Zeng, Qi Yu, Xiao Lin, et al.2026 · 2 citations
14. SILO-BENCH: A Scalable Environment for Evaluating Distributed Coordination in Multi-Agent LLM SystemsAnnual Meeting of the Association for Computational Linguistics (ACL)Yuzhe Zhang, Feiran Liu, Yi Shan, et al.2026 · 2 citations
15. Building LLMs Like LEGO: Two-dimensional Architecture Reassembly of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Xingyu Wu, Yu Zhou, KC Tan2026 · 1 citation
16. ComfyUI-R1: Exploring Reasoning Models for Workflow GenerationFindings of the Association for Computational LinguisticsZhenran Xu, Yiyu Wang, Xue Yang, et al.2026 · 1 citation
17. A Scalable Multi-LLM Collaboration System with Retrieval-based Selection and Exploration-Exploitation-Driven EnhancementAnnual Meeting of the Association for Computational Linguistics (ACL)Shengji Tang, Jianjian Cao, Weihao Lin, et al.2026
18. Distilling Long-CoT Reasoning through Collaborative Step-wise Multi-Teacher DecodingFindings of the Association for Computational LinguisticsTaewon Yun, Jisu Shin, Jeonghwan Choi, et al.2026
19. Identifying Collective Intelligence Factor in LLM Agent Groups for Generalizable Multi-Agent System DesignFindings of the Association for Computational LinguisticsZhilun Zhou, Zihan Liu, Jiahe Liu, et al.2026
20. Learning to Refine: Self-Refinement of Parallel Reasoning in LLMsFindings of the Association for Computational LinguisticsQibin Wang, Pu Zhao, Shaohan Huang, et al.2026
21. Multi-Agent Reasoning Improves Compute Efficiency: Pareto-Optimal Test-Time ScalingAnnual Meeting of the Association for Computational Linguistics (ACL)Florian Valentin Wunderlich, Lars Benedikt Kaesberg, Jan Philip Wahle, et al.2026
22. Multilingual KokoroChat: A Multi-LLM Ensemble Translation Method for Creating a Multilingual Counseling Dialogue DatasetLanguage Resources and Evaluation Conference (LREC)Ryoma Suzuki, Zhiyang Qi, Michimasa Inaba2026
23. NG-Router: Graph-Supervised Multi-Agent Collaboration for Nutrition Question AnsweringConference of the European Chapter of the Association for Computational Linguistics (EACL)Kaiwen Shi, Zheyuan Zhang, Zhengqing Yuan, et al.2026
24. PropGenie: A Multi-Agent Conversational Framework for Real Estate AssistanceConference of the European Chapter of the Association for Computational Linguistics (EACL)Chang Shen, Shaozu Yuan, Kuizong Wu, et al.2026
25. RouteMoA: Dynamic Routing without Pre-Inference Boosts Efficient Mixture-of-AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Jize Wang, Han Wu, Zhiyuan You, et al.2026
26. Routing with Generated Data: Annotation-Free LLM Skill Estimation and Expert SelectionAnnual Meeting of the Association for Computational Linguistics (ACL)Tianyi Niu, Justin Chen, Genta Indra Winata, et al.2026

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