Fetching the paper…
Reading the bibliography…
Recent works have explored using language models for planning problems.
STRIPS: A new approach to the application of theorem proving to problem solving
Richard E. Fikes and Nils J. Nilsson. 1971 · 1971
Earlier work this paper cites.
PDDL – The planning domain definition language
Drew McDermott, Malik Ghallab, Adele Howe, Craig Knoblock, Ashwin Ram, Manuela Veloso, Daniel Weld, and David Wilkins. 1998 · 1998
Earlier work this paper cites.
The 1998 AI Planning Systems Competition
Drew M. McDermott. 2000 · 1998
Earlier work this paper cites.
BLEU: A method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002 · 2002
Earlier work this paper cites.
Automated planning
Malik Ghallab, Dana Nau, and Paolo Traverso. 2004 · 2004
Earlier work this paper cites.
Val: automatic plan validation, continuous effects and mixed initiative planning using pddl
R. Howey, D. Long, and M. Fox. 2004 · 2004
Earlier work this paper cites.
ROUGE: A package for automatic evaluation of summaries
Chin-Yew Lin. 2004 · 2004
Earlier work this paper cites.
Plan constraints and preferences in PDDL3
A. Gerevini and D. Long. 2006 · 2006
Earlier work this paper cites.
The fast downward planning system
Malte Helmert. 2006 · 2006
Earlier work this paper cites.
Branching and pruning: An optimal temporal POCL planner based on constraint programming
Vincent Vidal and Héctor Geffner. 2006 · 2006
Earlier work this paper cites.
A heuristic search approach to planning with temporally extended preferences
Jorge A. Baier, Fahiem Bacchus, and Sheila A. McIlraith. 2009 · 2009
Earlier work this paper cites.
CodeBLEU: a method for automatic evaluation of code synthesis
Shuo Ren, Daya Guo, Shuai Lu, Long Zhou, Shujie Liu, Duyu Tang, Neel Sundaresan, Ming Zhou, Ambrosio Blanco, and Shuai Ma. 2020 · 2009
Earlier work this paper cites.
The 2014 International Planning Competition: Progress and trends
Mauro Vallati, Lukas Chrpa, Marek Grześ, Thomas Leo McCluskey, Mark Roberts, Scott Sanner, and Managing Editor. 2015 · 2014
Earlier work this paper cites.
Image retrieval using scene graphs
Justin Johnson, Ranjay Krishna, Michael Stark, Li-Jia Li, David A. Shamma, Michael S. Bernstein, and Li Fei-Fei. 2015 · 2015
Cited alongside, same era.
The deterministic part of the Seventh International Planning Competition
Carlos Linares López, Sergio Jiménez Celorrio, and Ángel García Olaya. 2015 · 2015
Cited alongside, same era.
SPoC: Search-based pseudocode to code
Sumith Kulal, Panupong Pasupat, Kartik Chandra, Mina Lee, Oded Padon, Alex Aiken, and Percy S Liang. 2019 · 2019
Cited alongside, same era.
Unsupervised translation of programming languages
Baptiste Roziere, Marie-Anne Lachaux, Lowik Chanussot, and Guillaume Lample. 2020 · 2020
Cited alongside, same era.
Evaluating large language models trained on code
Mark Chen, Jerry Tworek, Heewoo Jun, Qiming Yuan, Henrique Pondé de Oliveira Pinto, Jared Kaplan, Harrison Edwards, Yuri Burda, Nicholas Joseph, Greg Brockman, Alex Ray, Raul Puri, Gretchen Krueger, Michael Petrov, Heidy Khlaaf, Girish Sastry, Pamela Mishkin, Brooke Chan, Scott Gray, Nick Ryder, Mikhail Pavlov, Alethea Power, Lukasz Kaiser, Mohammad Bavarian, Clemens Winter, Philippe Tillet, Felipe Petroski Such, Dave Cummings, Matthias Plappert, Fotios Chantzis, Elizabeth Barnes, Ariel Herbert-Voss, William Hebgen Guss, Alex Nichol, Alex Paino, Nikolas Tezak, Jie Tang, Igor Babuschkin, Suchir Balaji, Shantanu Jain, William Saunders, Christopher Hesse, Andrew N. Carr, Jan Leike, Joshua Achiam, Vedant Misra, Evan Morikawa, Alec Radford, Matthew Knight, Miles Brundage, Mira Murati, Katie Mayer, Peter Welinder, Bob McGrew, Dario Amodei, Sam McCandlish, Ilya Sutskever, and Wojciech Zaremba. 2021 · 2021
Learning to reason over scene graphs: a case study of finetuning GPT-2 into a robot language model for grounded task planning
Georgia Chalvatzaki, Ali Younes, Daljeet Nandha, An Thai Le, Leonardo FR Ribeiro, and Iryna Gurevych. 2023 · 2023
Later among the works it cites.
A comprehensive survey of scene graphs: Generation and application
Xiaojun Chang, Pengzhen Ren, Pengfei Xu, Zhihui Li, Xiaojiang Chen, and Alex Hauptmann. 2023 · 2023
Later among the works it cites.
Comparing planning domain models using answer set programming
Lukáš Chrpa, Carmine Dodaro, Marco Maratea, Marco Mochi, and Mauro Vallati. 2023 · 2023
Later among the works it cites.
Qlora: Efficient finetuning of quantized LLMs
Tim Dettmers, Artidoro Pagnoni, Ari Holtzman, and Luke Zettlemoyer. 2023 · 2023
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
D-VAL: An automatic functional equivalence validation tool for planning domain models
Anas Shrinah, Derek Long, and Kerstin Eder. 2021 · 2021
Cited alongside, same era.
Theoretical foundations for structural symmetries of lifted PDDL tasks
Silvan Sievers, Gabriele Röger, Martin Wehrle, and Michael Katz. 2021 · 2021
Cited alongside, same era.
Do as I can, not as I say: Grounding language in robotic affordances
Brian Ichter, Anthony Brohan, Yevgen Chebotar, Chelsea Finn, Karol Hausman, Alexander Herzog, Daniel Ho, Julian Ibarz, Alex Irpan, Eric Jang, Ryan Julian, Dmitry Kalashnikov, Sergey Levine, Yao Lu, Carolina Parada, Kanishka Rao, Pierre Sermanet, Alexander Toshev, Vincent Vanhoucke, Fei Xia, Ted Xiao, Peng Xu, Mengyuan Yan, Noah Brown, Michael Ahn, Omar Cortes, Nicolas Sievers, Clayton Tan, Sichun Xu, Diego Reyes, Jarek Rettinghouse, Jornell Quiambao, Peter Pastor, Linda Luu, Kuang-Huei Lee, Yuheng Kuang, Sally Jesmonth, Nikhil J. Joshi, Kyle Jeffrey, Rosario Jauregui Ruano, Jasmine Hsu, Keerthana Gopalakrishnan, Byron David, Andy Zeng, and Chuyuan Kelly Fu. 2022 · 2022
Cited alongside, same era.
PDDL generators
Jendrik Seipp, Álvaro Torralba, and Jörg Hoffmann. 2022 · 2022
Cited alongside, same era.
Skill induction and planning with latent language
Pratyusha Sharma, Antonio Torralba, and Jacob Andreas. 2022 · 2022
Cited alongside, same era.
PDDL planning with pretrained large language models
Tom Silver, Varun Hariprasad, Reece S Shuttleworth, Nishanth Kumar, Tomás Lozano-Pérez, and Leslie Pack Kaelbling. 2022 · 2022
Cited alongside, same era.
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.
Lin Guan, Karthik Valmeekam, Sarath Sreedharan, and Subbarao Kambhampati. 2023 · 2023
Later among the works it cites.
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.
ConSOR: A context-aware semantic object rearrangement framework for partially arranged scenes
Kartik Ramachandruni, Max Zuo, and Sonia Chernova. 2023 · 2023
Later among the works it cites.
Robots that ask for help: Uncertainty alignment for large language model planners
Allen Z. Ren, Anushri Dixit, Alexandra Bodrova, Sumeet Singh, Stephen Tu, Noah Brown, Peng Xu, Leila Takayama, Fei Xia, Jake Varley, Zhenjia Xu, Dorsa Sadigh, Andy Zeng, and Anirudha Majumdar. 2023 · 2023
Later among the works it cites.
Generalized planning in PDDL domains with pretrained large language models
Tom Silver, Soham Dan, Kavitha Srinivas, Joshua B. Tenenbaum, Leslie Pack Kaelbling, and Michael Katz. 2023 · 2023
Later among the works it cites.
The 2023 International Planning Competition
Ayal Taitler, Ron Alford, Joan Espasa, Gregor Behnke, Daniel Fišer, Michael Gimelfarb, Florian Pommerening, Scott Sanner, Enrico Scala, Dominik Schreiber, Javier Segovia-Aguas, and Jendrik Seipp. 2024 · 2023
Later among the works it cites.
Translating natural language to planning goals with large-language models
Yaqi Xie, Chen Yu, Tongyao Zhu, Jinbin Bai, Ze Gong, and Harold Soh. 2023 · 2023
Later among the works it cites.
Gemma 2: Improving open language models at a practical size
Gemma Team. 2024 · 2024
Closest in time.