--- title: "Who cites ToolLLM: Facilitating Large Language Models to…" description: "493 papers of the Elamur Research library cite «ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs», found in their…" canonical: "https://research.elamur.ai/free/en/papers/qin-2023-toolllm-facilitating-large-language-models/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/qin-2023-toolllm-facilitating-large-language-models/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [ToolLLM: Facilitating Large Language Models to…](https://md.research.elamur.ai/free/en/papers/qin-2023-toolllm-facilitating-large-language-models/) / cited by # Who cites «ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs» 493 papers of our library cite it (of the 140884 whose bibliographies we read) · 30 with a page here, the most cited first · page 1 of 2 · [← the paper](https://md.research.elamur.ai/free/en/papers/qin-2023-toolllm-facilitating-large-language-models/) **1** [2](https://md.research.elamur.ai/free/en/papers/qin-2023-toolllm-facilitating-large-language-models/cited-by/page/2/) [next →](https://md.research.elamur.ai/free/en/papers/qin-2023-toolllm-facilitating-large-language-models/cited-by/page/2/) - [A Survey on Evaluation of Large Language Models](https://md.research.elamur.ai/free/en/papers/chang-2023-survey-evaluation-large-language-models/) — Yupeng Chang, Xu Wang, Jindong Wang, et al. · 2023 · 3 640 citations - [A Survey of Large Language Models](https://md.research.elamur.ai/free/en/papers/zhao-2023-survey-large-language-models/) — Wayne Xin Zhao, Kun Zhou, Junyi Li, et al. · 2023 · 2 847 citations - [A Comprehensive Overview of Large Language Models](https://md.research.elamur.ai/free/en/papers/naveed-2023-comprehensive-overview-large-language-models/) — Humza Naveed, Asad Ullah Khan, Shi Qiu, et al. · 2023 · 1 286 citations - [C-Pack: Packed Resources For General Chinese Embeddings](https://md.research.elamur.ai/free/en/papers/xiao-2023-c-pack-packed-resources/) — Shitao Xiao, Zheng Liu, Peitian Zhang, et al. · 2023 · 920 citations - [Benchmarking Large Language Models in Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/chen-2023-benchmarking-large-language-models-retrieval/) — Jiawei Chen, Hongyu Lin, Xianpei Han, et al. · 2023 · 624 citations - [MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework](https://md.research.elamur.ai/free/en/papers/hong-2023-metagpt-meta-programming-multi/) — Sirui Hong, Mingchen Zhuge, Jiaqi Chen, et al. · 2023 · 615 citations - [LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code](https://md.research.elamur.ai/free/en/papers/jain-2024-livecodebench-holistic-contamination-free-evaluation/) — Naman Jain, King Han, Alex Gu, et al. · 2024 · 540 citations - [Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters](https://md.research.elamur.ai/free/en/papers/snell-2024-scaling-llm-test-time-compute/) — Charlie Snell, Jaehoon Lee, Kelvin Xu, et al. · 2024 · 524 citations - [Query Rewriting in Retrieval-Augmented Large Language Models](https://md.research.elamur.ai/free/en/papers/ma-2023-query-rewriting-retrieval-augmented-large/) — Xinbei Ma, Yeyun Gong, Pengcheng He, et al. · 2023 · 383 citations - [ChatDev: Communicative Agents for Software Development](https://md.research.elamur.ai/free/en/papers/qian-2023-chatdev-communicative-agents-software/) — Chen Qian, Wei Liu, Hongzhang Liu, et al. · 2023 · 373 citations - [Kimi K2: Open Agentic Intelligence](https://md.research.elamur.ai/free/en/papers/kimi-2025-team-kimi-k2-open-agentic/) — Kimi Team, Yifan Bai, Yiping Bao, et al. · 2025 · 331 citations - [InternLM2 Technical Report](https://md.research.elamur.ai/free/en/papers/cai-2024-internlm2-technical-report/) — Zheng Cai, Maosong Cao, Haojiong Chen, et al. · 2024 · 299 citations - [API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMs](https://md.research.elamur.ai/free/en/papers/li-2023-api-bank-comprehensive-benchmark-tool/) — Minghao Li, Yingxiu Zhao, Bowen Yu, et al. · 2023 · 281 citations - [On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey](https://md.research.elamur.ai/free/en/papers/long-2024-llms-driven-synthetic-data-generation/) — Lin Long, Rui Wang, Ruixuan Xiao, et al. · 2024 · 236 citations - [TrustLLM: Trustworthiness in Large Language Models](https://md.research.elamur.ai/free/en/papers/huang-2024-trustllm-trustworthiness-large-language-models/) — Yue Huang, Lichao Sun, Haoran Wang, et al. · 2024 · 226 citations - [AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors](https://md.research.elamur.ai/free/en/papers/chen-2023-agentverse-facilitating-multi-agent/) — Weize Chen, Yusheng Su, Jingwei Zuo, et al. · 2023 · 210 citations - [OpenHands: An Open Platform for AI Software Developers as Generalist Agents](https://md.research.elamur.ai/free/en/papers/wang-2024-openhands-open-platform-ai/) — Xingyao Wang, Boxuan Li, Yufan Song, et al. · 2024 · 190 citations - [RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2023-rolellm-benchmarking-eliciting-enhancing-role/) — Zekun Moore Wang, Zhongyuan Peng, Haoran Que, et al. · 2023 · 186 citations - [Evaluating Large Language Models: A Comprehensive Survey](https://md.research.elamur.ai/free/en/papers/guo-2023-evaluating-large-language-models-comprehensive/) — Zishan Guo, Renren Jin, Chuang Liu, et al. · 2023 · 177 citations - [ToolAlpaca: Generalized Tool Learning for Language Models with 3000 Simulated Cases](https://md.research.elamur.ai/free/en/papers/tang-2023-toolalpaca-generalized-tool-learning-language/) — Qiaoyu Tang, Ziliang Deng, Hongyu Lin, et al. · 2023 · 172 citations - [WebVoyager: Building an End-to-End Web Agent with Large Multimodal Models](https://md.research.elamur.ai/free/en/papers/he-2024-webvoyager-building-end-end-web/) — Hongliang He, Wenlin Yao, Kaixin Ma, et al. · 2024 · 168 citations - [AgentTuning: Enabling Generalized Agent Abilities for LLMs](https://md.research.elamur.ai/free/en/papers/zeng-2023-agenttuning-enabling-generalized-agent/) — Aohan Zeng, Mingdao Liu, Rui Lu, et al. · 2023 · 158 citations - [Executable Code Actions Elicit Better LLM Agents](https://md.research.elamur.ai/free/en/papers/wang-2024-executable-code-actions-elicit-better/) — Xingyao Wang, Yangyi Chen, Lifan Yuan, et al. · 2024 · 143 citations - [Agent Laboratory: Using LLM Agents as Research Assistants](https://md.research.elamur.ai/free/en/papers/schmidgall-2025-agent-laboratory-using-llm/) — Samuel Schmidgall, Yusheng Su, Ze Wang, et al. · 2025 · 136 citations - [MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback](https://md.research.elamur.ai/free/en/papers/wang-2023-mint-evaluating-llms-multi-turn/) — Xingyao Wang, Zihan Wang, Jiateng Liu, et al. · 2023 · 136 citations **1** [2](https://md.research.elamur.ai/free/en/papers/qin-2023-toolllm-facilitating-large-language-models/cited-by/page/2/) [next →](https://md.research.elamur.ai/free/en/papers/qin-2023-toolllm-facilitating-large-language-models/cited-by/page/2/)