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As Large Language Models (LLMs) have shown significant intelligence, the progress to leverage LLMs as planning modules of autonomous agents has attracted more attention.
Pddl— the planning domain definition language
Constructions Aeronautiques, Adele Howe, et al · 1998
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Cognitive task analysis
Jan Maarten Schraagen, Susan F Chipman, et al · 2000
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Lpg: A planner based on local search for planning graphs with action costs
Alfonso Gerevini and Ivan Serina · 2002
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Automated Planning: theory and practice
Malik Ghallab, Dana Nau, et al · 2004
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Width and inference based planners: Siw, bfs (f), and probe
Nir Lipovetzky, Miquel Ramirez, et al · 2014
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Deep reinforcement learning with a natural language action space
Ji He, Jianshu Chen, et al · 2015
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Fever: a large-scale dataset for fact extraction and verification
James Thorne, Andreas Vlachos, et al · 2018
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Hotpotqa: A dataset for diverse, explainable multi-hop question answering
Zhilin Yang, Peng Qi, et al · 2018
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An introduction to the planning domain definition language
Patrik Haslum, Nir Lipovetzky, et al · 2019
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Billion-scale similarity search with GPUs
Jeff Johnson, Matthijs Douze, and Hervé Jégou · 2019
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Retrieval-augmented generation for knowledge-intensive nlp tasks
Patrick Lewis, Ethan Perez, et al · 2020
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Generation-augmented retrieval for open-domain question answering
Yuning Mao, Pengcheng He, Liu, et al · 2020
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Alfworld: Aligning text and embodied environments for interactive learning
Mohit Shridhar, Xingdi Yuan, et al · 2020
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Keep calm and explore: Language models for action generation in text-based games
Shunyu Yao, Rohan Rao, et al · 2020
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Keep calm and explore: Language models for action generation in text-based games
Shunyu Yao, Rohan Rao, et al · 2020
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Decision transformer: Reinforcement learning via sequence modeling
Lili Chen, Kevin Lu, et al · 2021
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Evaluating large language models trained on code
Mark Chen, Jerry Tworek, et al · 2021
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Recent advances in retrieval-augmented text generation
Deng Cai, Yan Wang, Lemao Liu, and Shuming Shi · 2022
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Wenhu Chen, Xueguang Ma, et al · 2022
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Large language models are zero-shot reasoners
Takeshi Kojima, Shixiang Shane Gu, et al · 2022
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Scienceworld: Is your agent smarter than a 5th grader?
Ruoyao Wang, Peter Jansen, et al · 2022
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Self-consistency improves chain of thought reasoning in language models
Xuezhi Wang, Jason Wei, et al · 2022
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Chain-of-thought prompting elicits reasoning in large language models
Jason Wei, Xuezhi Wang, et al · 2022
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React: Synergizing reasoning and acting in language models
Shunyu Yao, Jeffrey Zhao, et al · 2022
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Learning from mistakes makes llm better reasoner
Shengnan An, Zexiong Ma, et al · 2023
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Graph of thoughts: Solving elaborate problems with large language models
Maciej Besta, Nils Blach, et al · 2023
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Gautier Dagan, Frank Keller, and Alex Lascarides · 2023
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Reflexion: Language agents with verbal reinforcement learning
Noah Shinn, Federico Cassano, et al · 2023
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Progprompt: Generating situated robot task plans using large language models
Ishika Singh, Valts Blukis, et al · 2023
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A survey of reasoning with foundation models
Jiankai Sun, Chuanyang Zheng, et al · 2023
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Llama 2: Open foundation and fine-tuned chat models
Hugo Touvron, Louis Martin, et al · 2023
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A survey on large language model based autonomous agents
Lei Wang, Chen Ma, et al · 2023
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Mind2web: Towards a generalist agent for the web
Xiang Deng, Yu Gu, et al · 2023
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Pal: Program-aided language models
Luyu Gao, Aman Madaan, et al · 2023
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Critic: Large language models can self-correct with tool-interactive critiquing
Zhibin Gou, Zhihong Shao, et al · 2023
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Lin Guan, Karthik Valmeekam, et al · 2023
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Reasoning with language model is planning with world model
Shibo Hao, Yi Gu, et al · 2023
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Lei Huang, Yu Weijiang, et al · 2023
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Recommender ai agent: Integrating large language models for interactive recommendations
Xu Huang, Jianxun Lian, et al · 2023
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Lei Wang, Wanyu Xu, et al · 2023
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Recmind: Large language model powered agent for recommendation
Yancheng Wang, Ziyan Jiang, et al · 2023
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Visual chatgpt: Talking, drawing and editing with visual foundation models
Chenfei Wu, Shengming Yin, et al · 2023
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C-pack: Packaged resources to advance general chinese embedding, 2023
Shitao Xiao et al · 2023
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Llm a*: Human in the loop large language models enabled a* search for robotics
Hengjia Xiao and Peng Wang · 2023
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Foundation models for decision making: Problems, methods, and opportunities
Sherry Yang, Nachum Ofir, et al · 2023
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Coupling large language models with logic programming for robust and general reasoning from text
Zhun Yang, Adam Ishay, and Joohyung Lee · 2023
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Tree of thoughts: Deliberate problem solving with large language models
Shunyu Yao, Dian Yu, et al · 2023
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Agenttuning: Enabling generalized agent abilities for llms
Aohan Zeng, Mingdao Liu, et al · 2023
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Large language model is semi-parametric reinforcement learning agent
Danyang Zhang, Lu Chen, et al · 2023
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Siren’s song in the ai ocean: A survey on hallucination in large language models
Yue Zhang, Yafu Li, et al · 2023
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A survey of large language models
Wayne Xin Zhao, Kun Zhou, et al · 2023
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Large language models as commonsense knowledge for large-scale task planning
Zirui Zhao, Wee Sun Lee, and David Hsu · 2023
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Memorybank: Enhancing large language models with long-term memory
Wanjun Zhong, Lianghong Guo, Qiqi Gao, and Yanlin Wang · 2023
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Webarena: A realistic web environment for building autonomous agents
Shuyan Zhou, Frank F Xu, et al · 2023
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Unifying large language models and knowledge graphs: A roadmap
Shirui Pan, Linhao Luo, et al · 2024
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