OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
Generalized Planning in PDDL Domains with Pretrained Large Language Models
Tom Silver, Soham Dan, Kavitha Srinivas, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 18, pp. 20256-20264
Open Access | Times Cited: 19
Tom Silver, Soham Dan, Kavitha Srinivas, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 18, pp. 20256-20264
Open Access | Times Cited: 19
Showing 19 citing articles:
AutoTAMP: Autoregressive Task and Motion Planning with LLMs as Translators and Checkers
Yongchao Chen, Jacob Arkin, Charles Dawson, et al.
(2024), pp. 6695-6702
Open Access | Times Cited: 18
Yongchao Chen, Jacob Arkin, Charles Dawson, et al.
(2024), pp. 6695-6702
Open Access | Times Cited: 18
On the Prospects of Incorporating Large Language Models (LLMs) in Automated Planning and Scheduling (APS)
Vishal Pallagani, Bharath Muppasani, Kaushik Roy, et al.
Proceedings of the International Conference on Automated Planning and Scheduling (2024) Vol. 34, pp. 432-444
Open Access | Times Cited: 14
Vishal Pallagani, Bharath Muppasani, Kaushik Roy, et al.
Proceedings of the International Conference on Automated Planning and Scheduling (2024) Vol. 34, pp. 432-444
Open Access | Times Cited: 14
Statler: State-Maintaining Language Models for Embodied Reasoning
Takuma Yoneda, Jiading Fang, Peng Li, et al.
(2024), pp. 15083-15091
Open Access | Times Cited: 11
Takuma Yoneda, Jiading Fang, Peng Li, et al.
(2024), pp. 15083-15091
Open Access | Times Cited: 11
ISR-LLM: Iterative Self-Refined Large Language Model for Long-Horizon Sequential Task Planning
Zhehua Zhou, Jiayang Song, Kunpeng Yao, et al.
(2024), pp. 2081-2088
Open Access | Times Cited: 4
Zhehua Zhou, Jiayang Song, Kunpeng Yao, et al.
(2024), pp. 2081-2088
Open Access | Times Cited: 4
Agentic Workflows for Improving Large Language Model Reasoning in Robotic Object-Centered Planning
Jesus Moncada-Ramirez, Jose-Luis Matez-Bandera, Javier González-Jiménez, et al.
Robotics (2025) Vol. 14, Iss. 3, pp. 24-24
Open Access
Jesus Moncada-Ramirez, Jose-Luis Matez-Bandera, Javier González-Jiménez, et al.
Robotics (2025) Vol. 14, Iss. 3, pp. 24-24
Open Access
Unlocking Robotic Autonomy: A Survey on the Applications of Foundation Models
Dae-Sung Jang, Doo-Hyun Cho, Woo-Cheol Lee, et al.
International Journal of Control Automation and Systems (2024) Vol. 22, Iss. 8, pp. 2341-2384
Closed Access | Times Cited: 2
Dae-Sung Jang, Doo-Hyun Cho, Woo-Cheol Lee, et al.
International Journal of Control Automation and Systems (2024) Vol. 22, Iss. 8, pp. 2341-2384
Closed Access | Times Cited: 2
On the Prospects of Incorporating Large Language Models (LLMs) in Automated Planning and Scheduling (APS)
Vishal Pallagani, Kaushik Roy, Bharath Muppasani, et al.
arXiv (Cornell University) (2024)
Open Access | Times Cited: 1
Vishal Pallagani, Kaushik Roy, Bharath Muppasani, et al.
arXiv (Cornell University) (2024)
Open Access | Times Cited: 1
Return to Tradition: Learning Reliable Heuristics with Classical Machine Learning
Dillon Chen, Felipe Trevizan, Sylvie Thiébaux
Proceedings of the International Conference on Automated Planning and Scheduling (2024) Vol. 34, pp. 68-76
Open Access | Times Cited: 1
Dillon Chen, Felipe Trevizan, Sylvie Thiébaux
Proceedings of the International Conference on Automated Planning and Scheduling (2024) Vol. 34, pp. 68-76
Open Access | Times Cited: 1
Large Language Models as Planning Domain Generators
James Oswald, Kavitha Srinivas, Harsha Kokel, et al.
Proceedings of the International Conference on Automated Planning and Scheduling (2024) Vol. 34, pp. 423-431
Open Access | Times Cited: 1
James Oswald, Kavitha Srinivas, Harsha Kokel, et al.
Proceedings of the International Conference on Automated Planning and Scheduling (2024) Vol. 34, pp. 423-431
Open Access | Times Cited: 1
Cook2LTL: Translating Cooking Recipes to LTL Formulae using Large Language Models
Angelos Mavrogiannis, Christoforos Mavrogiannis, Yiannis Aloimonos
(2024), pp. 17679-17686
Open Access | Times Cited: 1
Angelos Mavrogiannis, Christoforos Mavrogiannis, Yiannis Aloimonos
(2024), pp. 17679-17686
Open Access | Times Cited: 1
How to Prompt Your Robot: A PromptBook for Manipulation Skills with Code as Policies
Montserrat Gonzalez Arenas, Ted Xiao, Sumeet Singh, et al.
(2024), pp. 4340-4348
Closed Access | Times Cited: 1
Montserrat Gonzalez Arenas, Ted Xiao, Sumeet Singh, et al.
(2024), pp. 4340-4348
Closed Access | Times Cited: 1
There and Back Again: Extracting Formal Domains for Controllable Neurosymbolic Story Authoring
Jack Kelly, Alex Calderwood, Noah Wardrip–Fruin, et al.
Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (2023) Vol. 19, Iss. 1, pp. 64-74
Open Access | Times Cited: 4
Jack Kelly, Alex Calderwood, Noah Wardrip–Fruin, et al.
Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (2023) Vol. 19, Iss. 1, pp. 64-74
Open Access | Times Cited: 4
Text2Reaction : Enabling Reactive Task Planning Using Large Language Models
Zejun Yang, Ning Li, Haitao Wang, et al.
IEEE Robotics and Automation Letters (2024) Vol. 9, Iss. 5, pp. 4003-4010
Closed Access | Times Cited: 1
Zejun Yang, Ning Li, Haitao Wang, et al.
IEEE Robotics and Automation Letters (2024) Vol. 9, Iss. 5, pp. 4003-4010
Closed Access | Times Cited: 1
BioPlanner: Automatic Evaluation of LLMs on Protocol Planning in Biology
Odhran O’Donoghue, Aleksandar Shtedritski, John Ginger, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023), pp. 2676-2694
Open Access | Times Cited: 3
Odhran O’Donoghue, Aleksandar Shtedritski, John Ginger, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023), pp. 2676-2694
Open Access | Times Cited: 3
Unlocking underrepresented use-cases for large language model-driven human-robot task planning
Selma Wanna, Fabian Parra Gil, Robert Valner, et al.
Advanced Robotics (2024) Vol. 38, Iss. 18, pp. 1335-1348
Closed Access
Selma Wanna, Fabian Parra Gil, Robert Valner, et al.
Advanced Robotics (2024) Vol. 38, Iss. 18, pp. 1335-1348
Closed Access
Anticipate & Act: Integrating LLMs and Classical Planning for Efficient Task Execution in Household Environments†
Raghav Arora, Shivam Singh, Karthik Swaminathan, et al.
(2024), pp. 14038-14045
Closed Access
Raghav Arora, Shivam Singh, Karthik Swaminathan, et al.
(2024), pp. 14038-14045
Closed Access
MORPHeus: a Multimodal One-armed Robot-assisted Peeling System with Human Users In-the-loop
Ruolin Ye, Yi-Fei Hu, Yuhan Anjelica Bian, et al.
(2024), pp. 9540-9547
Open Access
Ruolin Ye, Yi-Fei Hu, Yuhan Anjelica Bian, et al.
(2024), pp. 9540-9547
Open Access
Common Sense Plan Verification with Large Language Models
Danil S. Grigorev, Alexey K. Kovalev, Aleksandr I. Panov
Lecture notes in computer science (2024), pp. 224-236
Closed Access
Danil S. Grigorev, Alexey K. Kovalev, Aleksandr I. Panov
Lecture notes in computer science (2024), pp. 224-236
Closed Access
Human–robot dialogue annotation for multi-modal common ground
Claire Bonial, Stephanie M. Lukin, Mitchell Abrams, et al.
Language Resources and Evaluation (2024)
Closed Access
Claire Bonial, Stephanie M. Lukin, Mitchell Abrams, et al.
Language Resources and Evaluation (2024)
Closed Access
