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Recently an influx of studies claim emergent cognitive abilities in large language models (LLMs).
Cognitive maps in rats and men
E C Tolman · 1948
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The hippocampus as a spatial map. preliminary evidence from unit activity in the freely-moving rat
J O’Keefe and J Dostrovsky · 1971
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Place units in the hippocampus of the freely moving rat
J O’Keefe · 1976
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The Hippocampus as a Cognitive Map
John O’Keefe and Lynn Nadel · 1978
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Spatial representation in the entorhinal cortex
Marianne Fyhn, Sturla Molden, Menno P Witter, Edvard I Moser, and May-Britt Moser · 2004
Earlier work this paper cites.
Microstructure of a spatial map in the entorhinal cortex
Torkel Hafting, Marianne Fyhn, Sturla Molden, May-Britt Moser, and Edvard I Moser · 2005
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Place cells, grid cells, and the brain’s spatial representation system
Edvard I Moser, Emilio Kropff, and May-Britt Moser · 2008
Earlier work this paper cites.
Neural representations of events arise from temporal community structure
Anna C Schapiro, Timothy T Rogers, Natalia I Cordova, Nicholas B Turk-Browne, and Matthew M Botvinick · 2013
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Differential roles for medial prefrontal and medial temporal cortices in schema-dependent encoding: from congruent to incongruent
Marlieke T R van Kesteren, Sarah F Beul, Atsuko Takashima, Richard N Henson, Dirk J Ruiter, and Guillén Fernández · 2013
Earlier work this paper cites.
Design principles of the hippocampal cognitive map
K L Stachenfeld, M Botvinick, and others · 2014
Earlier work this paper cites.
A map for social navigation in the human brain
Rita Morais Tavares, Avi Mendelsohn, Yael Grossman, Christian Hamilton Williams, Matthew Shapiro, Yaacov Trope, and Daniela Schiller · 2015
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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.
The successor representation in human reinforcement learning
I Momennejad, E M Russek, J H Cheong, M M Botvinick, N D Daw, and S J Gershman · 2017
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Complementary learning systems within the hippocampus: a neural network modelling approach to reconciling episodic memory with statistical learning
Anna C Schapiro, Nicholas B Turk-Browne, Matthew M Botvinick, and Kenneth A Norman · 2017
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What is a cognitive map? organizing knowledge for flexible behavior
Timothy E J Behrens, Timothy H Muller, James C R Whittington, Shirley Mark, Alon B Baram, Kimberly L Stachenfeld, and Zeb Kurth-Nelson · 2018
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Offline replay supports planning in human reinforcement learning
I Momennejad, A R Otto, N D Daw, and K A Norman · 2018
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Navigating social space
Matthew Schafer and Daniela Schiller · 2018
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Reinforcement Learning: An Introduction
Richard S Sutton and Andrew G Barto · 2018
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Logically-constrained neural fitted Q-iteration
Hosein Hasanbeig, Alessandro Abate, and Daniel Kroening · 2019
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Reinforcement learning for temporal logic control synthesis with probabilistic satisfaction guarantees
Hosein Hasanbeig, Yiannis Kantaros, Alessandro Abate, Daniel Kroening, George J Pappas, and Insup Lee · 2019
Earlier work this paper cites.
Bridge ties bind collective memories
Ida Momennejad, Ajua Duker, and Alin Coman · 2019
Earlier work this paper cites.
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, et al · 2020
Earlier work this paper cites.
Learning structures: Predictive representations, replay, and generalization
Ida Momennejad · 2020
Earlier work this paper cites.
Unsupervised commonsense question answering with self-talk
Vered Shwartz, Peter West, Ronan Le Bras, Chandra Bhagavatula, and Yejin Choi · 2020
Cited alongside, same era.
How to optimize knowledge construction in the brain
Marlieke Tina Renée van Kesteren and Martijn Meeter · 2020
Cited alongside, same era.
Predictive representations in hippocampal and prefrontal hierarchies
Iva K Brunec and Ida Momennejad · 2021
Cited alongside, same era.
Show your work: Scratchpads for intermediate computation with language models
Maxwell Nye, Anders Johan Andreassen, Guy Gur-Ari, Henryk Michalewski, Jacob Austin, David Bieber, David Dohan, Aitor Lewkowycz, Maarten Bosma, David Luan, et al · 2021
Cited alongside, same era.
Relating transformers to models and neural representations of the hippocampal formation
James C R Whittington, Joseph Warren, and Timothy E J Behrens · 2021
Cited alongside, same era.
Chain of thought prompting elicits reasoning in large language models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Ed Chi, Quoc Le, and Denny Zhou · 2022
Later among the works it cites.
STaR: Bootstrapping reasoning with reasoning
Eric Zelikman, Yuhuai Wu, and Noah D Goodman · 2022
Later among the works it cites.
Least-to-most prompting enables complex reasoning in large language models
Denny Zhou, Nathanael Scharli, Le Hou, Jason Wei, Nathan Scales, Xuezhi Wang, Dale Schuurmans, Olivier Bousquet, Quoc Le, and Ed Chi · 2022
Later among the works it cites.
https://www.nobelprize.org/prizes/medicine/2014/press-release/
The nobel prize in physiology or medicine 2014 · 2023
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What learning algorithm is in-context learning? investigations with linear models
Ekin Akyrek, Dale Schuurmans, Jacob Andreas, Tengyu Ma, and Denny Zhou · 2022
Cited alongside, same era.
Multiple realizability and the spirit of functionalism
Rosa Cao · 2022
Cited alongside, same era.
Introducing Cohere
Cohere · 2022
Cited alongside, same era.
Selection-inference: Exploiting large language models for interpretable logical reasoning
Antonia Creswell, Murray Shanahan, and Irina Higgins · 2022
Cited alongside, same era.
Large language models are zero-shot reasoners
Takeshi Kojima, Shixiang Shane Gu, Machel Reid, Yutaka Matsuo, and Yusuke Iwasawa · 2022
Cited alongside, same era.
On the advance of making language models better reasoners
Yifei Li, Zeqi Lin, Shizhuo Zhang, Qiang Fu, Bei Chen, Jian-Guang Lou, and Weizhu Chen · 2022
Cited alongside, same era.
Multi-stage prompting for knowledgeable dialogue generation
Zihan Liu, Mostofa Patwary, Ryan Prenger, Shrimai Prabhumoye, Wei Ping, Mohammad Shoeybi, and Bryan Catanzaro · 2022
Cited alongside, same era.
OpenAI 2023 · 2023
Closest in time.
Introducing Claude
Anthropic · 2023
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Using cognitive psychology to understand GPT-3
Marcel Binz and Eric Schulz · 2023
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Sparks of artificial general intelligence: Early experiments with GPT-4
Sébastien Bubeck, Varun Chandrasekaran, Ronen Eldan, Johannes Gehrke, Eric Horvitz, Ece Kamar, Peter Lee, Yin Tat Lee, Yuanzhi Li, Scott Lundberg, Harsha Nori, Hamid Palangi, Marco Tulio Ribeiro, and Yi Zhang · 2023
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From cognitive maps to spatial schemas
Delaram Farzanfar, Hugo J Spiers, Morris Moscovitch, and R Shayna Rosenbaum · 2023
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Experimentology
Michael C Frank, Mika Braginsky, Julie Cachia, Nicholas Coles, Tom Hardwicke, Robert Hawkins, Maya Mathur, and Rondeline Williams · 2023
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Certified reinforcement learning with logic guidance
Hosein Hasanbeig, Daniel Kroening, and Alessandro Abate · 2023
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Symbolic task inference in deep reinforcement learning
Hosein Hasanbeig, Natasha Yogananda Jeppu, Alessandro Abate, Tom Melham, and Daniel Kroening · 2023
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GPT is becoming a turing machine: Here are some ways to program it
Ana Jojic, Zhen Wang, and Nebojsa Jojic · 2023
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Dissociating language and thought in large language models: a cognitive perspective
Kyle Mahowald, Anna A Ivanova, Idan A Blank, Nancy Kanwisher, Joshua B Tenenbaum, and Evelina Fedorenko · 2023
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Large language models can segment narrative events similarly to humans
Sebastian Michelmann, Manoj Kumar, Kenneth A Norman, and Mariya Toneva · 2023
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Boosting Theory-of-Mind performance in large language models via prompting
Shima Rahimi Moghaddam and Christopher J Honey · 2023
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Probing the psychology of AI models
Richard Shiffrin and Melanie Mitchell · 2023
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Reflexion: an autonomous agent with dynamic memory and self-reflection
Noah Shinn, Beck Labash, and Ashwin Gopinath · 2023
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Stanford alpaca: An instruction-following LLaMA model, 2023
Rohan Taori, Ishaan Gulrajani, Tianyi Zhang, Yann Dubois, Xuechen Li, Carlos Guestrin, Percy Liang, and Tatsunori B. Hashimoto · 2023
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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, et al · 2023
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Large language models fail on trivial alterations to Theory-of-Mind tasks
Tomer Ullman · 2023
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Imitation versus innovation: What children can do that large language and language-and-vision models cannot (yet)?
Eunice Yiu, Eliza Kosoy, and Alison Gopnik · 2023
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