OpenAlex Citation Counts

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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:

ProgPrompt: program generation for situated robot task planning using large language models
Ishika Singh, Valts Blukis, Arsalan Mousavian, et al.
Autonomous Robots (2023) Vol. 47, Iss. 8, pp. 999-1012
Open Access | Times Cited: 23

Showing 23 citing articles:

Text2Motion: from natural language instructions to feasible plans
Kevin Lin, Christopher Agia, Toki Migimatsu, et al.
Autonomous Robots (2023) Vol. 47, Iss. 8, pp. 1345-1365
Closed Access | Times Cited: 74

TidyBot: personalized robot assistance with large language models
Jimmy Wu, Rika Antonova, Adam Kan, et al.
Autonomous Robots (2023) Vol. 47, Iss. 8, pp. 1087-1102
Closed Access | Times Cited: 64

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: 15

ORGANA: A robotic assistant for automated chemistry experimentation and characterization
Kourosh Darvish, Marta Skreta, Yuchi Zhao, et al.
Matter (2024), pp. 101897-101897
Open Access | Times Cited: 14

Survey on Large Language Model-Enhanced Reinforcement Learning: Concept, Taxonomy, and Methods
Yuji Cao, Huan Zhao, Yuheng Cheng, et al.
IEEE Transactions on Neural Networks and Learning Systems (2024), pp. 1-21
Open Access | Times Cited: 13

Integrating action knowledge and LLMs for task planning and situation handling in open worlds
Yan Ding, Xiaohan Zhang, Saeid Amiri, et al.
Autonomous Robots (2023) Vol. 47, Iss. 8, pp. 981-997
Closed Access | Times Cited: 20

Stability Analysis and Navigational Techniques of Wheeled Mobile Robot: A Review
Kailash Kumar Borkar, Turki Aljrees, Saroj Kumar Pandey, et al.
Processes (2023) Vol. 11, Iss. 12, pp. 3302-3302
Open Access | Times Cited: 11

Exploiting Language Models as a Source of Knowledge for Cognitive Agents
James R. Kirk, Robert E. Wray, John E. Laird
Proceedings of the AAAI Symposium Series (2024) Vol. 2, Iss. 1, pp. 286-294
Open Access | Times Cited: 3

A Recommendation System for Prosumers Based on Large Language Models
Simona‐Vasilica Oprea, Adela Bârã
(2024)
Open 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

A Recommendation System for Prosumers Based on Large Language Models
Simona‐Vasilica Oprea, Adela Bârã
Sensors (2024) Vol. 24, Iss. 11, pp. 3530-3530
Open Access | Times Cited: 1

EAI-SIM: An Open-Source Embodied AI Simulation Framework with Large Language Models
Guocai Liu, Tao Sun, Weihua Li, et al.
(2024), pp. 994-999
Closed Access | Times Cited: 1

PlanCollabNL: Leveraging Large Language Models for Adaptive Plan Generation in Human-Robot Collaboration
Silvia Izquierdo-Badiola, Gerard Canal, Carlos Rizzo, et al.
(2024), pp. 17344-17350
Open Access | Times Cited: 1

Using Large Language Models to Generate and Apply Contingency Handling Procedures in Collaborative Assembly Applications
Jeon Ho Kang, Neel Dhanaraj, Siddhant Wadaskar, et al.
(2024), pp. 15585-15592
Closed Access | Times Cited: 1

Stepwise Large-Scale Multi-Agent Task Planning Using Neighborhood Search
Fan Zeng, Shouhei Shirafuji, Changxiang Fan, et al.
IEEE Robotics and Automation Letters (2023) Vol. 9, Iss. 1, pp. 111-118
Closed Access | Times Cited: 2

Instruction Fine-tuning and LoRA Combined Approach for Optimizing Large Language Models
Sang-Gook Kim, Kyungran Noh, Hyuk Hahn, et al.
Journal of Society of Korea Industrial and Systems Engineering (2024) Vol. 47, Iss. 2, pp. 134-146
Closed Access

Templated vs. Generative: Explaining Robot Failures
Gregory LeMasurier, Christian Tagliamonte, James Breen, et al.
(2024), pp. 1346-1353
Closed Access

The role of large language models in agriculture: harvesting the future with LLM intelligence
Tawseef Ayoub Shaikh, Tabasum Rasool, K. Veningston, et al.
Progress in Artificial Intelligence (2024)
Closed Access

KGGPT: Empowering Robots with OpenAI’s ChatGPT and Knowledge Graph
Zonghao Mu, Wenyu Zhao, Yue Yin, et al.
Lecture notes in computer science (2023), pp. 340-351
Closed Access

Example-Driven Trajectory Learner for Robots under Structured Static Environment
M. S. Midhun, Suraj Kamal, James Kurian
Research Square (Research Square) (2023)
Open Access

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