The conceptarc benchmark: Evaluating understanding and generalization in the arc domain A Moskvichev, VV Odouard, M Mitchell arXiv preprint arXiv:2305.07141, 2023 | 78 | 2023 |
Comparing humans, gpt-4, and gpt-4v on abstraction and reasoning tasks M Mitchell, AB Palmarini, A Moskvichev arXiv preprint arXiv:2311.09247, 2023 | 66 | 2023 |
Against theory-motivated experimentation in science M Dubova, A Moskvichev, K Zollman OSF, 2022 | 16 | 2022 |
Using linguistic activity in social networks to predict and interpret dark psychological traits A Moskvichev, M Dubova, S Menshov, A Filchenkov Artificial Intelligence and Natural Language: 6th Conference, AINL 2017, St …, 2018 | 14 | 2018 |
The conceptarc benchmark: Evaluating understanding and generalization in the arc domain. arXiv A Moskvichev, VV Odouard, M Mitchell arXiv preprint arXiv:2305.07141, 2023 | 9 | 2023 |
Reinforcement communication learning in different social network structures M Dubova, A Moskvichev, R Goldstone arXiv preprint arXiv:2007.09820, 2020 | 8 | 2020 |
Effects of supervision, population size, and self-play on multi-agent reinforcement learning to communicate M Dubova, A Moskvichev Artificial Life Conference Proceedings 32, 678-686, 2020 | 7 | 2020 |
The conceptarc benchmark: Evaluating understanding and generalization in the arc domain (2023) A Moskvichev, VV Odouard, M Mitchell URL https://arxiv. org/abs/2305.07141, 0 | 6 | |
Comparing Humans M Mitchell, AB Palmarini, A Moskvichev GPT-4, and GPT-4V on abstraction and reasoning tasks, 2023 | 5 | 2023 |
Updater-extractor architecture for inductive world state representations A Moskvichev, JA Liu arXiv preprint arXiv:2104.05500, 2021 | 5 | 2021 |
A Picture is Worth 7.17 Words: Learning Categories from Examples andDefinitions A Moskvichev, R Tikhonov, M Steyvers Proceedings of the Annual Meeting of the Cognitive Science Society 41, 2019 | 4 | 2019 |
Data augmentation method for the image sentiment analysis A Rakovsky, A Moskvichev, A Filchenkov Proceeding of the AINL FRUCT 2016 Conference, Saint Petersburg, 106-109, 2016 | 4 | 2016 |
The ConceptARC benchmark: Evaluating understanding and generalization in the arc domain. arXiv 2023 A Moskvichev, VV Odouard, M Mitchell arXiv preprint arXiv:2305.07141, 0 | 4 | |
NarrativeXL: a large-scale dataset for long-term memory models A Moskvichev, KV Mai arXiv preprint arXiv:2305.13877, 2023 | 2 | 2023 |
Word Games as milestones for NLP research A Moskvichev, M Steyvers Proceedings of GAMNLP 19, 2019 | 2 | 2019 |
Adaptation aftereffects as a result of bayesian categorization M Dubova, A Moskvichev Proceedings of the Annual Meeting of the Cognitive Science Society 41, 2019 | 2 | 2019 |
Towards a Linguistic Model of Stress, Well. being and Dark Traits in Russian Facebook Texts P Panicheva, V Ivanov, A Moskvichev, O Bogolyubova, Y Ledovaya Proceeding of the AINL-ISMW FRUCT Conference 7, 2015 | 1 | 2015 |
Beyond Turing: Testing LLMs for Intelligence PN Johnson-Laird, M Ragni, C Jones, B Bergen, F Chollet, A Moskvichev, ... COMMUNICATIONS OF THE ACM 67 (9), 2024 | | 2024 |
Teaching categories via examples and explanations A Moskvichev, R Tikhonov, M Steyvers Cognition 238, 105511, 2023 | | 2023 |
Language-Based Learning: Cognitive and Computational Perspective A Moskvichev University of California, Irvine, 2022 | | 2022 |