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Spatial reasoning based on natural language expressions is essential for everyday human tasks.
Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel Ziegler, Jeffrey Wu, Clemens Winter, Chris Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei. 2020 · 1901
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Raymond S. Nickerson. 1994 · 1994
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Question answering using constraint satisfaction: QA-by-dossier-with-contraints
John Prager, Jennifer Chu-Carroll, and Krzysztof Czuba. 2004 · 2004
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From generic knowledge to specific reasoning for medical image interpretation using graph based representations
Jamal Atif, Céline Hudelot, Geoffroy Fouquier, Isabelle Bloch, and Elsa D Angelini. 2007 · 2007
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Spatial reasoning for human robot interaction
Emrah Akin Sisbot, Luis F Marin, and Rachid Alami. 2007 · 2007
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Towards ai-complete question answering: A set of prerequisite toy tasks
Jason Weston, Antoine Bordes, Sumit Chopra, Alexander M. Rush, Bart van Merriënboer, Armand Joulin, and Tomas Mikolov. 2016 · 2016
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Parisa Kordjamshidi, Taher Rahgooy, Marie-Francine Moens, James Pustejovsky, Umar Manzoor, and Kirk Roberts. 2017 · 2017
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BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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A logic-driven framework for consistency of neural models
Tao Li, Vivek Gupta, Maitrey Mehta, and Vivek Srikumar. 2019 · 2019
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Neuro-symbolic visual reasoning: Disentangling "Visual" from "Reasoning"
Saeed Amizadeh, Hamid Palangi, Alex Polozov, Yichen Huang, and Kazuhito Koishida. 2020 · 2020
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Logic-guided data augmentation and regularization for consistent question answering
Akari Asai and Hannaneh Hajishirzi. 2020 · 2020
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The primal-dual method for learning augmented algorithms
Etienne Bamas, Andreas Maggiori, and Ola Svensson. 2020 · 2020
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Understanding spatial language in radiology: Representation framework, annotation, and spatial relation extraction from chest x-ray reports using deep learning
Surabhi Datta, Yuqi Si, Laritza Rodriguez, Sonya E Shooshan, Dina Demner-Fushman, and Kirk Roberts. 2020 · 2020
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Ming Zhou, Nan Duan, Shujie Liu, and Heung-Yeung Shum. 2020 · 2020
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Roshanak Mirzaee, Hossein Rajaby Faghihi, Qiang Ning, and Parisa Kordjamshidi. 2021 · 2021
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LoRA: Low-rank adaptation of large language models
Edward J Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen. 2022 · 2022
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Ximing Lu, Sean Welleck, Peter West, Liwei Jiang, Jungo Kasai, Daniel Khashabi, Ronan Le Bras, Lianhui Qin, Youngjae Yu, Rowan Zellers, Noah A. Smith, and Yejin Choi. 2022 · 2022
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Transfer learning with synthetic corpora for spatial role labeling and reasoning
Roshanak Mirzaee and Parisa Kordjamshidi. 2022 · 2022
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Cold decoding: Energy-based constrained text generation with langevin dynamics
Lianhui Qin, Sean Welleck, Daniel Khashabi, and Yejin Choi. 2022 · 2022
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Gluecons: A generic benchmark for learning under constraints
Hossein Rajaby Faghihi, Aliakbar Nafar, Chen Zheng, Roshanak Mirzaee, Yue Zhang, Andrzej Uszok, Alexander Wan, Tanawan Premsri, Dan Roth, and Parisa Kordjamshidi. 2023 · 2023
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Exploring and improving the spatial reasoning abilities of large language models
Manasi Sharma. 2023 · 2023
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Towards benchmarking and improving the temporal reasoning capability of large language models
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Learning spatial reasoning in virtual vs. physical games with robots
Elmira Yadollahi, Miguel Alexandre Monteiro, and Ana Paiva. 2023 · 2023
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Chain-of-thought prompting elicits reasoning in large language models
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