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Large language model (LLM) has marked a pivotal moment in the field of machine learning and deep learning.
Situations, actions, and causal laws
John McCarthy. 1963 · 1963
Earlier work this paper cites.
The computational complexity of propositional STRIPS planning
Tom Bylander. 1994 · 1994
Earlier work this paper cites.
Injecting Numerical Reasoning Skills into Language Models
Mor Geva, Ankit Gupta, and Jonathan Berant. 2020 · 2004
Earlier work this paper cites.
Model predictive control
Eduardo F Camacho and Carlos Bordons Alba. 2013 · 2013
Earlier work this paper cites.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017
Earlier work this paper cites.
Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018 · 2018
Earlier work this paper cites.
Task planning in robotics: an empirical comparison of pddl-and asp-based systems
Yu-qian Jiang, Shi-qi Zhang, Piyush Khandelwal, and Peter Stone. 2019 · 2019
Earlier work this paper cites.
GPT-3: Its nature, scope, limits, and consequences
Luciano Floridi and Massimo Chiriatti. 2020 · 2020
Earlier work this paper cites.
Inner monologue: Embodied reasoning through planning with language models
Wenlong Huang, Fei Xia, Ted Xiao, Harris Chan, Jacky Liang, Pete Florence, Andy Zeng, Jonathan Tompson, Igor Mordatch, Yevgen Chebotar, et al · 2022
Earlier work this paper cites.
Large language models are zero-shot reasoners
Takeshi Kojima, Shixiang Shane Gu, Machel Reid, Yutaka Matsuo, and Yusuke Iwasawa. 2022 · 2022
Earlier work this paper cites.
Solving Quantitative Reasoning Problems with Language Models. In Advances in Neural Information Processing Systems , S. Koyejo, S. Mohamed, A. Agarwal, D. Belgrave, K. Cho, and A. Oh (Eds.), Vol. 35. Curran Associates, Inc., 3843–3857
Aitor Lewkowycz, Anders Andreassen, David Dohan, Ethan Dyer, Henryk Michalewski, Vinay Ramasesh, Ambrose Slone, Cem Anil, Imanol Schlag, Theo Gutman-Solo, Yuhuai Wu, Behnam Neyshabur, Guy Gur-Ari, and Vedant Misra. 2022 · 2022
Earlier work this paper cites.
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation. In ICML
Junnan Li, Dongxu Li, Caiming Xiong, and Steven Hoi. 2022 · 2022
Earlier work this paper cites.
Progprompt: Generating situated robot task plans using large language models
Ishika Singh, Valts Blukis, Arsalan Mousavian, Ankit Goyal, Danfei Xu, Jonathan Tremblay, Dieter Fox, Jesse Thomason, and Animesh Garg. 2022 · 2022
Cited alongside, same era.
Self-consistency improves chain of thought reasoning in language models
Xuezhi Wang, Jason Wei, Dale Schuurmans, Quoc Le, Ed Chi, and Denny Zhou. 2022 · 2022
Cited alongside, same era.
Extensible Database Simulator for Fast Prototyping In-Database Algorithms. In Proceedings of the 31st ACM International Conference on Information & Knowledge Management (Atlanta, GA, USA) (CIKM ’22) . Association for Computing Machinery, New York, NY, USA, 5029–5033
Yifan Wang and Daisy Zhe Wang. 2022 · 2022
Cited alongside, same era.
Chain of thought prompting elicits reasoning in large language models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Ed Chi, Quoc Le, and Denny Zhou. 2022 · 2022
GPT is becoming a Turing machine: Here are some ways to program it
Ana Jojic, Zhen Wang, and Nebojsa Jojic. 2023 · 2023
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LLM+ P: Empowering Large Language Models with Optimal Planning Proficiency
Bo Liu, Yuqian Jiang, Xiaohan Zhang, Qiang Liu, Shiqi Zhang, Joydeep Biswas, and Peter Stone. 2023 · 2023
Later among the works it cites.
Faithful chain-of-thought reasoning
Qing Lyu, Shreya Havaldar, Adam Stein, Li Zhang, Delip Rao, Eric Wong, Marianna Apidianaki, and Chris Callison-Burch. 2023 · 2023
Later among the works it cites.
REFINER: Reasoning Feedback on Intermediate Representations
Debjit Paul, Mete Ismayilzada, Maxime Peyrard, Beatriz Borges, Antoine Bosselut, Robert West, and Boi Faltings. 2023 · 2023
Later among the works it cites.
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Cited alongside, same era.
Generating Sequences by Learning to Self-Correct
Sean Welleck, Ximing Lu, Peter West, Faeze Brahman, Tianxiao Shen, Daniel Khashabi, and Yejin Choi. 2022 · 2022
Cited alongside, same era.
Least-to-most prompting enables complex reasoning in large language models
Denny Zhou, Nathanael Schärli, Le Hou, Jason Wei, Nathan Scales, Xuezhi Wang, Dale Schuurmans, Olivier Bousquet, Quoc Le, and Ed Chi. 2022 · 2022
Cited alongside, same era.
Graph of thoughts: Solving elaborate problems with large language models
Maciej Besta, Nils Blach, Ales Kubicek, Robert Gerstenberger, Lukas Gianinazzi, Joanna Gajda, Tomasz Lehmann, Michal Podstawski, Hubert Niewiadomski, Piotr Nyczyk, et al · 2023
Cited alongside, same era.
Shikra: Unleashing Multimodal LLM’s Referential Dialogue Magic
Keqin Chen, Zhao Zhang, Weili Zeng, Richong Zhang, Feng Zhu, and Rui Zhao. 2023 · 2023
Cited alongside, same era.
Can Knowledge Graphs Simplify Text?. In Proceedings of the 32nd ACM International Conference on Information and Knowledge Management . 379–389
Anthony Colas, Haodi Ma, Xuanli He, Yang Bai, and Daisy Zhe Wang. 2023 · 2023
Cited alongside, same era.
Task and motion planning with large language models for object rearrangement
Yan Ding, Xiaohan Zhang, Chris Paxton, and Shiqi Zhang. 2023 · 2023
Cited alongside, same era.
Reasoning with language model is planning with world model
Shibo Hao, Yi Gu, Haodi Ma, Joshua Jiahua Hong, Zhen Wang, Daisy Zhe Wang, and Zhiting Hu. 2023 · 2023
Cited alongside, same era.
Noah Shinn, Beck Labash, and Ashwin Gopinath. 2023 · 2023
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Reimagining Retrieval Augmented Language Models for Answering Queries
Wang-Chiew Tan, Yuliang Li, Pedro Rodriguez, Richard James, Xi Victoria Lin, Alon Halevy, and Scott Yih. 2023 · 2023
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CAESURA: Language Models as Multi-Modal Query Planners
Matthias Urban and Carsten Binnig. 2023 · 2023
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Is ChatGPT a good sentiment analyzer? A preliminary study
Zengzhi Wang, Qiming Xie, Zixiang Ding, Yi Feng, and Rui Xia. 2023 · 2023
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Tree of thoughts: Deliberate problem solving with large language models
Shunyu Yao, Dian Yu, Jeffrey Zhao, Izhak Shafran, Thomas L Griffiths, Yuan Cao, and Karthik Narasimhan. 2023 · 2023
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Boyu Zhang, Hongyang Yang, and Xiao-Yang Liu. 2023 · 2023
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MemoryBank: Enhancing Large Language Models with Long-Term Memory
Wanjun Zhong, Lianghong Guo, Qiqi Gao, He Ye, and Yanlin Wang. 2023 · 2023
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