🔗 Who cites «Small LLMs Are Weak Tool Learners: A Multi-LLM Agent»

35 papers of our library cite it (of the 149,439 whose bibliographies we read) · 8 with a page here, the most cited first · ← back to «Small LLMs Are Weak Tool Learners: A Multi-LLM Agent»

1. MM-LLMs: Recent Advances in MultiModal Large Language ModelsFindings of the Association for Computational LinguisticsDuzhen Zhang, Yahan Yu, Jiahua Dong, et al.2024 · 320 citations
2. MasRouter: Learning to Route LLMs for Multi-Agent SystemsAnnual Meeting of the Association for Computational Linguistics (ACL)Yanwei Yue, Guibin Zhang, Boyang Liu, et al.2025 · 35 citations
3. Guiding Reasoning in Small Language Models with LLM AssistancearXiv:2504.09923Yujin Kim, Euiin Yi, Minu Kim, et al.2025 · 9 citations
4. PV-SQL: Synergizing Database Probing and Rule-based Verification for Text-to-SQL AgentsFindings of the Association for Computational LinguisticsYuan Tian, Tianyi Zhang2026 · 1 citation
5. Rethinking Scale: Deployment Trade-offs of Small Language Models under Agent ParadigmsAnnual Meeting of the Association for Computational Linguistics (ACL)Xinlin Wang2026 · 1 citation
6. SmartAD: Capacity-Aligned Agent Distillation for Small Language ModelsFindings of the Association for Computational LinguisticsGuokai Tang, Feng Zhao2026 · 1 citation
7. FAMA: Failure-Aware Meta-Agentic Framework for Open-Source LLMs in Interactive Tool Use EnvironmentsFindings of the Association for Computational LinguisticsAmir Saeidi, Venkatesh Mishra, Souradeep Mukhopadhyay, et al.2026
8. MAGNET: Towards Adaptive GUI Agents with Memory-Driven Knowledge EvolutionAnnual Meeting of the Association for Computational Linguistics (ACL)Libo Sun, Jiwen Zhang, Siyuan Wang, et al.2026

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

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