🔗 Who cites «MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use»

76 papers of our library cite it (of the 149,439 whose bibliographies we read) · 23 with a page here, the most cited first · ← back to «MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use»

1. TrustLLM: Trustworthiness in Large Language ModelsarXiv:2401.05561Yue Huang, Lichao Sun, Haoran Wang, et al.2024 · 237 citations
2. Combating Misinformation in the Age of LLMs: Opportunities and ChallengesAI MagazineCanyu Chen, Kai Shu2023 · 214 citations
3. Tool Learning with Large Language Models: A SurveyFrontiers of Computer ScienceChangle Qu, Sunhao Dai, Xiaochi Wei, et al.2024 · 195 citations
4. Justice or Prejudice? Quantifying Biases in LLM-as-a-JudgearXiv:2410.02736Jiayi Ye, Yanbo Wang, Yue Huang, et al.2024 · 148 citations
5. τ-bench: A Benchmark for Tool-Agent-User Interaction in Real-World DomainsarXiv:2406.12045Shunyu Yao, Noah Shinn, Pedram Razavi, et al.2024 · 137 citations
6. Navigate through Enigmatic Labyrinth A Survey of Chain of Thought Reasoning: Advances, Frontiers and FuturearXiv:2309.15402Zheng Chu, Jingchang Chen, Qianglong Chen, et al.2023 · 125 citations
7. From Persona to Personalization: A Survey on Role-Playing Language AgentsarXiv:2404.18231Jiangjie Chen, Xintao Wang, Rui Xu, et al.2024 · 115 citations
8. τ²-Bench: Evaluating Conversational Agents in a Dual-Control EnvironmentarXiv:2506.07982Victor Barres, Honghua Dong, Soham Ray, et al.2025 · 76 citations
9. xLAM: A Family of Large Action Models to Empower AI Agent SystemsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Jianguo Zhang, Tian Lan, Ming Zhu, et al.2025 · 68 citations
10. LegalAgentBench: Evaluating LLM Agents in Legal DomainAnnual Meeting of the Association for Computational Linguistics (ACL)Haitao Li, Junjie Chen, Jingli Yang, et al.2025 · 62 citations
11. ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world ScenariosInternational Conference on Computational Linguistics (COLING)Junjie Ye, Guanyu Li, SongYang Gao, et al.2025 · 35 citations
12. MindSearch: Mimicking Human Minds Elicits Deep AI SearcherarXiv:2407.20183Zehui Chen, Kuikun Liu, Qiuchen Wang, et al.2024 · 20 citations
13. Adaptive Tool Use in Large Language Models with Meta-Cognition TriggerAnnual Meeting of the Association for Computational Linguistics (ACL)Wenjun Li, Dexun Li, Kuicai Dong, et al.2025 · 16 citations
14. ToolHop: A Query-Driven Benchmark for Evaluating Large Language Models in Multi-Hop Tool UseAnnual Meeting of the Association for Computational Linguistics (ACL)Junjie Ye, Zhengyin Du, Xuesong Yao, et al.2025 · 15 citations
15. Alignment for Efficient Tool Calling of Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Hongshen Xu, Zihan Wang, Zichen Zhu, et al.2025 · 13 citations
16. Efficient Tool Use with Chain-of-Abstraction ReasoningInternational Conference on Computational Linguistics (COLING)Silin Gao, Jane Dwivedi-Yu, Ping Yu, et al.2025 · 13 citations
17. NesTools: A Dataset for Evaluating Nested Tool Learning Abilities of Large Language ModelsInternational Conference on Computational Linguistics (COLING)Han Han, Tong Zhu, Xiang Zhang, et al.2025 · 7 citations
18. Feedback-Driven Tool-Use Improvements in Large Language Models via Automated Build EnvironmentsFindings of the Association for Computational LinguisticsJunjie Ye, Changhao Jiang, Zhengyin Du, et al.2026 · 6 citations
19. ToolScope: Enhancing LLM Agent Tool Use through Tool Merging and Context-Aware FilteringAnnual Meeting of the Association for Computational Linguistics (ACL)Marianne Menglin Liu, Daniel Garcia, Fjona Parllaku, et al.2026 · 4 citations
20. ThinkBrake: Efficient Reasoning via Log-Probability Margin Guided DecodingFindings of the Association for Computational LinguisticsSangjun Song, Minjae Oh, Seungkyu Lee, et al.2026 · 1 citation
21. AJ-Bench: Benchmarking Agent-as-a-Judge for Environment-Aware EvaluationFindings of the Association for Computational LinguisticsWentao Shi, Yu Wang, Yuyang Zhao, et al.2026
22. TPS-Bench: Evaluating AI Agents' Tool Planning & Scheduling Abilities in Compounding TasksAnnual Meeting of the Association for Computational Linguistics (ACL)Hanwen Xu, Xuyao Huang, Yuzhe Liu, et al.2026
23. Survey of Tool Use in Large Language Models (大语言模型的工具使用综述)Acta Automatica Sinica (自动化学报)Yining Zheng (郑逸宁), Zhen Yu (余镇), Bufan Li (李不凡), et al.2025

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

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