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Recent progress with LLM-based agents has shown promising results across various tasks.
Dbpedia: A nucleus for a web of open data
Sören Auer, Christian Bizer, Georgi Kobilarov, Jens Lehmann, Richard Cyganiak, and Zachary Ives. 2007 · 2007
Earlier work this paper cites.
Rode: Learning roles to decompose multi-agent tasks
Tonghan Wang, Tarun Gupta, Anuj Mahajan, Bei Peng, Shimon Whiteson, and Chongjie Zhang. 2020 · 2010
Earlier work this paper cites.
Lc-quad: A corpus for complex question answering over knowledge graphs
Priyansh Trivedi, Gaurav Maheshwari, Mohnish Dubey, and Jens Lehmann. 2017 · 2017
Earlier work this paper cites.
Answering natural language questions by subgraph matching over knowledge graphs
Sen Hu, Lei Zou, Jeffrey Xu Yu, Haixun Wang, and Dongyan Zhao. 2018 · 2018
Earlier work this paper cites.
9th challenge on question answering over linked data (qald-9) (invited paper)
Ricardo Usbeck, Ria Hari Gusmita, Axel-Cyrille Ngonga Ngomo, and Muhammad Saleem. 2018 · 2018
Earlier work this paper cites.
Yago 4: A reason-able knowledge base
Thomas Pellissier Tanon, Gerhard Weikum, and Fabian Suchanek. 2020 · 2020
Earlier work this paper cites.
Edg-based question decomposition for complex question answering over knowledge bases
Xixin Hu, Yiheng Shu, Xiang Huang, and Yuzhong Qu. 2021 · 2021
Earlier work this paper cites.
A survey for in-context learning
Qingxiu Dong, Lei Li, Damai Dai, Ce Zheng, Zhiyong Wu, Baobao Chang, Xu Sun, Jingjing Xu, and Zhifang Sui. 2022 · 2022
Cited alongside, same era.
Large language models are zero-shot reasoners
Takeshi Kojima, Shixiang Shane Gu, Machel Reid, Yutaka Matsuo, and Yusuke Iwasawa. 2022 · 2022
Cited alongside, same era.
Knowledge-augmented language model prompting for zero-shot knowledge graph question answering
Jinheon Baek, AlhamFikri Aji, and Amir Saffari. 2023 · 2023
Cited alongside, same era.
Large language model for science: A study on p vs. np
Qingxiu Dong, Li Dong, Ke Xu, Guangyan Zhou, Yaru Hao, Zhifang Sui, and Furu Wei. 2023 · 2023
Cited alongside, same era.
Graphix-t5: Mixing pre-trained transformers with graph-aware layers for text-to-sql parsing
Jinyang Li, Binyuan Hui, Reynold Cheng, Bowen Qin, Chenhao Ma, Nan Huo, Fei Huang, Wenyu Du, Luo Si, and Yongbin Li. 2023 · 2023
Reflexion: an autonomous agent with dynamic memory and self-reflection
Noah Shinn, Beck Labash, and Ashwin Gopinath. 2023 · 2023
Later among the works it cites.
A survey on large language model based autonomous agents
Lei Wang, Chen Ma, Xueyang Feng, Zeyu Zhang, Hao Yang, Jingsen Zhang, Zhiyuan Chen, Jiakai Tang, Xu Chen, Yankai Lin, et al. 2023 · 2023
Later among the works it cites.
React: Synergizing reasoning and acting in language models
Shunyu Yao, Jeffrey Zhao, Dian Yu, Nan Du, Izhak Shafran, Karthik Narasimhan, and Yuan Cao. 2023 · 2023
Later among the works it cites.
Can llm already serve as a database interface? a big bench for large-scale database grounded text-to-sqls
Jinyang Li, Binyuan Hui, Ge Qu, Jiaxi Yang, Binhua Li, Bowen Li, Bailin Wang, Bowen Qin, Ruiying Geng, Nan Huo, et al. 2024 · 2024
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Toolformer: Language models can teach themselves to use tools
Timo Schick, Jane Dwivedi-Yu, Roberto Dessì, Roberta Raileanu, Maria Lomeli, Eric Hambro, Luke Zettlemoyer, Nicola Cancedda, and Thomas Scialom. 2024 · 2024
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Cited alongside, same era.
Bolaa: Benchmarking and orchestrating llm-augmented autonomous agents
Zhiwei Liu, Weiran Yao, Jianguo Zhang, Le Xue, Shelby Heinecke, Rithesh Murthy, Yihao Feng, Zeyuan Chen, Juan Carlos Niebles, Devansh Arpit, et al. 2023 · 2023
Cited alongside, same era.
Art: Automatic multi-step reasoning and tool-use for large language models
Bhargavi Paranjape, Scott Lundberg, Sameer Singh, Hannaneh Hajishirzi, Luke Zettlemoyer, and MarcoTulio Ribeiro. 2023 · 2023
Cited alongside, same era.
Chatdb: Augmenting llms with databases as their symbolic memory
Chenxu Hu, Jie Fu, Chenzhuang Du, Simian Luo, Junbo Zhao, and Hang Zhao. 2023a
Cited in the paper.
An empirical study of pre-trained language models in simple knowledge graph question answering
Nan Hu, Yike Wu, Guilin Qi, Dehai Min, Jiaoyan Chen, Jeff Z Pan, and Zafar Ali. 2023b
Cited in the paper.
A universal question-answering platform for knowledge graphs
Reham Omar, Ishika Dhall, Panos Kalnis, and Essam Mansour. 2023a
Cited in the paper.
Reham Omar, Omij Mangukiya, Panos Kalnis, and Essam Mansour. 2023b
Cited in the paper.
Make a choice! knowledge base question answering with in-context learning
Chuanyuan Tan, Yuehe Chen, Wenbiao Shao, Wenliang Chen, Zhefeng Wang, Baoxing Huai, and Min Zhang. 2023a
Cited in the paper.
Closest in time.
Hugginggpt: Solving ai tasks with chatgpt and its friends in hugging face
Yongliang Shen, Kaitao Song, Xu Tan, Dongsheng Li, Weiming Lu, and Yueting Zhuang. 2024 · 2024
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Collaborative agents for software engineering
Daniel Tang, Zhenghan Chen, Kisub Kim, Yewei Song, Haoye Tian, Saad Ezzini, Yongfeng Huang, and Jacques Klein Tegawende F Bissyande. 2024 · 2024
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