Fetching the paper…
Reading the bibliography…
Large language models (LLMs) have exhibited impressive performance in language comprehension and various reasoning tasks.
Cognitive maps in rats and men
Edward C Tolman · 1948
Earlier work this paper cites.
Tiling with polyominoes
Solomon W Golomb · 1966
Earlier work this paper cites.
Mental rotation of three-dimensional objects
Roger N. Shepard and Jacqueline Metzler · 1971
Earlier work this paper cites.
A chronometric study of mental paper folding
Roger N Shepard and Christine Feng · 1972
Earlier work this paper cites.
The mental image
Roger N Shepard · 1978
Earlier work this paper cites.
Working memory
Alan Baddeley · 1992
Earlier work this paper cites.
Representing and reasoning with qualitative spatial relations about regions
Anthony G Cohn, Brandon Bennett, John Gooday, and Nicholas M Gotts · 1997
Earlier work this paper cites.
Dancing links
Donald E Knuth · 2000
Earlier work this paper cites.
An extensible sat-solver
Niklas Eén and Niklas Sörensson · 2003
Earlier work this paper cites.
Berkmin: A fast and robust sat-solver
Eugene Goldberg and Yakov Novikov · 2007
Earlier work this paper cites.
Imagining predictions: mental imagery as mental emulation
Samuel T Moulton and Stephen M Kosslyn · 2009
Earlier work this paper cites.
Language and space: a two-level semantic approach based on principles of ontological engineering
John A Bateman · 2010
Earlier work this paper cites.
Towards linguistically-grounded spatial logics
Joana Hois and Oliver Kutz · 2011
Earlier work this paper cites.
Spatial role labeling: Towards extraction of spatial relations from natural language
Parisa Kordjamshidi, Martijn Van Otterlo, and Marie-Francine Moens · 2011
Earlier work this paper cites.
A logical approach to building dungeons: Answer set programming for hierarchical procedural content generation in roguelike games
Anthony J Smith and Joanna J Bryson · 2014
Earlier work this paper cites.
Global machine learning for spatial ontology population
Parisa Kordjamshidi and Marie-Francine Moens · 2015
Earlier work this paper cites.
Towards ai-complete question answering: A set of prerequisite toy tasks, 2015
Jason Weston, Antoine Bordes, Sumit Chopra, Alexander M. Rush, Bart van Merriënboer, Armand Joulin, and Tomas Mikolov · 2015
Earlier work this paper cites.
A map of abstract relational knowledge in the human hippocampal–entorhinal cortex
Mona M Garvert, Raymond J Dolan, and Timothy EJ Behrens · 2017
Earlier work this paper cites.
A corpus of natural language for visual reasoning
Alane Suhr, Mike Lewis, James Yeh, and Yoav Artzi · 2017
Earlier work this paper cites.
Abstract shape representation in human visual perception
Nicholas Baker and Philip J Kellman · 2018
Cited alongside, same era.
Generalization without systematicity: On the compositional skills of sequence-to-sequence recurrent networks, 2018
Brenden M. Lake and Marco Baroni · 2018
Cited alongside, same era.
Visually guided spatial relation extraction from text
Taher Rahgooy, Umar Manzoor, and Parisa Kordjamshidi · 2018
Cited alongside, same era.
On the measure of intelligence, 2019
François Chollet · 2019
Cited alongside, same era.
Combining deep learning and qualitative spatial reasoning to learn complex structures from sparse examples with noise
Nikhil Krishnaswamy, Scott Friedman, and James Pustejovsky · 2019
Cited alongside, same era.
Explaining code using ascii art, 2019
John Regehr · 2019
A path towards autonomous machine intelligence version 0.9. 2, 2022-06-27
Yann LeCun · 2022
Later among the works it cites.
A systematic investigation of commonsense knowledge in large language models, 2022
Xiang Lorraine Li, Adhiguna Kuncoro, Jordan Hoffmann, Cyprien de Masson d’Autume, Phil Blunsom, and Aida Nematzadeh · 2022
Later among the works it cites.
Mind’s eye: Grounded language model reasoning through simulation, 2022
Ruibo Liu, Jason Wei, Shixiang Shane Gu, Te-Yen Wu, Soroush Vosoughi, Claire Cui, Denny Zhou, and Andrew M. Dai · 2022
Later among the works it cites.
Transfer learning with synthetic corpora for spatial role labeling and reasoning
Roshanak Mirzaee and Parisa Kordjamshidi · 2022
Later among the works it cites.
Mapping language models to grounded conceptual spaces
Roma Patel and Ellie Pavlick · 2022
Later among the works it cites.
Stepgame: A new benchmark for robust multi-hop spatial reasoning in texts
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Yonatan Bisk, Ari Holtzman, Jesse Thomason, Jacob Andreas, Yoshua Bengio, Joyce Chai, Mirella Lapata, Angeliki Lazaridou, Jonathan May, Aleksandr Nisnevich, et al · 2020
Cited alongside, same era.
Language models are few-shot learners
Tom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, J. Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, T. Henighan, Rewon Child, A. Ramesh, Daniel M. Ziegler, Jeff Wu, Clemens Winter, Christopher Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, S. Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, I. Sutskever, and Dario Amodei · 2020
Cited alongside, same era.
Representation, learning and reasoning on spatial language for downstream nlp tasks
Parisa Kordjamshidi, J. Pustejovsky, and Marie-Francine Moens · 2020
Cited alongside, same era.
A benchmark for systematic generalization in grounded language understanding
Laura Ruis, Jacob Andreas, Marco Baroni, Diane Bouchacourt, and Brenden M Lake · 2020
Cited alongside, same era.
Can language models encode perceptual structure without grounding? a case study in color
Mostafa Abdou, Artur Kulmizev, Daniel Hershcovich, Stella Frank, Ellie Pavlick, and Anders Søgaard · 2021
Cited alongside, same era.
Scanqa: 3d question answering for spatial scene understanding
Daich Azuma, Taiki Miyanishi, Shuhei Kurita, and Motoaki Kawanabe · 2021
Cited alongside, same era.
Zhengxiang Shi, Qiang Zhang, and Aldo Lipani · 2022
Later among the works it cites.
Sparks of artificial general intelligence: Early experiments with gpt-4
Sébastien Bubeck, Varun Chandrasekaran, Ronen Eldan, J. Gehrke, Eric Horvitz, Ece Kamar, Peter Lee, Y. Lee, Yuan-Fang Li, Scott M. Lundberg, Harsha Nori, H. Palangi, Marco Tulio Ribeiro, and Yi Zhang · 2023
Later among the works it cites.
Language models represent space and time, 2023
Wes Gurnee and Max Tegmark · 2023
Later among the works it cites.
Reasoning with language model is planning with world model, 2023
Shibo Hao, Yi Gu, Haodi Ma, Joshua Jiahua Hong, Zhen Wang, Daisy Zhe Wang, and Zhiting Hu · 2023
Later among the works it cites.
3d-llm: Injecting the 3d world into large language models, 2023
Yining Hong, Haoyu Zhen, Peihao Chen, Shuhong Zheng, Yilun Du, Zhenfang Chen, and Chuang Gan · 2023
Later among the works it cites.
Mistral 7b, 2023
Albert Q. Jiang, Alexandre Sablayrolles, Arthur Mensch, Chris Bamford, Devendra Singh Chaplot, Diego de las Casas, Florian Bressand, Gianna Lengyel, Guillaume Lample, Lucile Saulnier, Lélio Renard Lavaud, Marie-Anne Lachaux, Pierre Stock, Teven Le Scao, Thibaut Lavril, Thomas Wang, Timothée Lacroix, and William El Sayed · 2023
Later among the works it cites.
Large language models are zero-shot reasoners, 2023
Takeshi Kojima, Shixiang Shane Gu, Machel Reid, Yutaka Matsuo, and Yusuke Iwasawa · 2023
Later among the works it cites.
Large language models as general pattern machines, 2023
Suvir Mirchandani, Fei Xia, Pete Florence, Brian Ichter, Danny Driess, Montserrat Gonzalez Arenas, Kanishka Rao, Dorsa Sadigh, and Andy Zeng · 2023
Later among the works it cites.
Emergent linear representations in world models of self-supervised sequence models
Neel Nanda, Andrew Lee, and Martin Wattenberg · 2023
Later among the works it cites.
Gpt-4v(ision) system card
OpenAI · 2023
Later among the works it cites.
Llama: Open and efficient foundation language models
Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothée Lacroix, Baptiste Rozière, Naman Goyal, Eric Hambro, Faisal Azhar, Aurelien Rodriguez, Armand Joulin, Edouard Grave, and Guillaume Lample · 2023
Later among the works it cites.
Evaluating spatial understanding of large language models, 2023
Yutaro Yamada, Yihan Bao, Andrew K. Lampinen, Jungo Kasai, and Ilker Yildirim · 2023
Later among the works it cites.
Zhun Yang, Adam Ishay, and Joohyung Lee · 2023
Later among the works it cites.
Evaluating cognitive maps and planning in large language models with cogeval
Ida Momennejad, Hosein Hasanbeig, Felipe Vieira, Hiteshi Sharma, Robert Osazuwa Ness, Nebojsa Jojic, Hamid Palangi, and Jonathan Larson · 2024
Closest in time.