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Tool learning methods have enhanced the ability of large language models (LLMs) to interact with real-world applications.
The probable error of a mean
Student. 1908 · 1908
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Robustness of learning from task instructions
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Probing the creativity of large language models: Can models produce divergent semantic association?
Honghua Chen and Nai Ding. 2023 · 2023
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Toolkengpt: Augmenting frozen language models with massive tools via tool embeddings
Shibo Hao, Tianyang Liu, Zhen Wang, and Zhiting Hu. 2023 · 2023
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Tool documentation enables zero-shot tool-usage with large language models
Cheng-Yu Hsieh, Si-An Chen, Chun-Liang Li, Yasuhisa Fujii, Alexander Ratner, Chen-Yu Lee, Ranjay Krishna, and Tomas Pfister. 2023 · 2023
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Albert Qiaochu Jiang, Alexandre Sablayrolles, Arthur Mensch, Chris Bamford, Devendra Singh Chaplot, Diego de Las Casas, Florian Bressand, Gianna Lengyel, Guillaume Lample, Lucile Saulnier, L’elio Renard Lavaud, Marie-Anne Lachaux, Pierre Stock, Teven Le Scao, Thibaut Lavril, Thomas Wang, Timothée Lacroix, and William El Sayed. 2023 · 2023
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Agentbench: Evaluating llms as agents
Xiao Liu, Hao Yu, Hanchen Zhang, Yifan Xu, Xuanyu Lei, Hanyu Lai, Yu Gu, Hangliang Ding, Kaiwen Men, Kejuan Yang, et al. 2023 · 2023
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Chameleon: Plug-and-play compositional reasoning with large language models
Pan Lu, Baolin Peng, Hao Cheng, Michel Galley, Kai-Wei Chang, Ying Nian Wu, Song-Chun Zhu, and Jianfeng Gao. 2023 · 2023
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Gorilla: Large language model connected with massive apis
Shishir G Patil, Tianjun Zhang, Xin Wang, and Joseph E Gonzalez. 2023 · 2023
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Investigating the factual knowledge boundary of large language models with retrieval augmentation
Ruiyang Ren, Yuhao Wang, Yingqi Qu, Wayne Xin Zhao, Jing Liu, Hao Tian, Hua Wu, Ji-Rong Wen, and Haifeng Wang. 2023 · 2023
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Toolformer: Language Models Can Teach Themselves to Use Tools
Timo Schick, Jane Dwivedi-Yu, Roberto Dessì, Roberta Raileanu, Maria Lomeli, Luke Zettlemoyer, Nicola Cancedda, and Thomas Scialom. 2023 · 2023
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Towards a unified framework for reference retrieval and related work generation
Zhengliang Shi, Shen Gao, Zhen Zhang, Xiuying Chen, Zhumin Chen, Pengjie Ren, and Zhaochun Ren. 2023 · 2023
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RestGPT: Connecting Large Language Models with Real-World Applications via RESTful APIs
Yifan Song, Weimin Xiong, Dawei Zhu, Chengzu Li, Ke Wang, Ye Tian, and Sujian Li. 2023 · 2023
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On the tool manipulation capability of open-source large language models
Zero-shot position debiasing for large language models
Zhongkun Liu, Zheng Chen, Mengqi Zhang, Zhaochun Ren, Zhumin Chen, and Pengjie Ren. 2024 · 2024
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Is temperature the creativity parameter of large language models?
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AUTOACT: Automatic Agent Learning from Scratch via Self-Planning
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Identifying the risks of lm agents with an lm-emulated sandbox
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Opportunities and challenges for chatgpt and large language models in biomedicine and health
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ReAct: Synergizing Reasoning and Acting in Language Models
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Toolqa: A dataset for llm question answering with external tools
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Anshuman Chhabra, Hadi Askari, and Prasant Mohapatra. 2024 · 2024
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Confucius: Iterative tool learning from introspection feedback by easy-to-difficult curriculum
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Large language model based multi-agents: A survey of progress and challenges
Taicheng Guo, Xiuying Chen, Yaqi Wang, Ruidi Chang, Shichao Pei, Nitesh V Chawla, Olaf Wiest, and Xiangliang Zhang. 2024 · 2024
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API-bank: A comprehensive benchmark for tool-augmented LLMs
Minghao Li, Yingxiu Zhao, Bowen Yu, Feifan Song, Hangyu Li, Haiyang Yu, Zhoujun Li, Fei Huang, and Yongbin Li. 2023a
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Robust prompt optimization for large language models against distribution shifts
Moxin Li, Wenjie Wang, Fuli Feng, Yixin Cao, Jizhi Zhang, and Tat-Seng Chua. 2023b
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Executable code actions elicit better llm agents
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Hot or cold? adaptive temperature sampling for code generation with large language models
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