| Beyond the imitation game: Quantifying and extrapolating the capabilities of language models A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ... Transactions on machine learning research, 2023 | 2213 | 2023 |
| Does CLIP Bind Concepts? Probing Compositionality in Large Image Models M Lewis, NV Nayak, P Yu, Q Yu, J Merullo, SH Bach, E Pavlick Findings of the Association for Computational Linguistics: EACL 2024, 1487–1500, 2024 | 95 | 2024 |
| Modelling the interplay of metaphor and emotion through multitask learning V Dankers, M Rei, M Lewis, E Shutova Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 91 | 2019 |
| Graded hyponymy for compositional distributional semantics D Bankova, B Coecke, M Lewis, D Marsden Journal of Language Modelling 6 (2), 225–260-225–260, 2018 | 78* | 2018 |
| Recent advances in neural metaphor processing: A linguistic, cognitive and social perspective X Tong, E Shutova, M Lewis Proceedings of the 2021 conference of the North American chapter of the …, 2021 | 65 | 2021 |
| Hierarchical conceptual spaces for concept combination M Lewis, J Lawry Artificial Intelligence 237, 204-227, 2016 | 65 | 2016 |
| Using counterfactual tasks to evaluate the generality of analogical reasoning in large language models M Lewis, M Mitchell Proceedings of the Annual Meeting of the Cognitive Science Society 46, 2024 | 62 | 2024 |
| Interacting conceptual spaces I: Grammatical composition of concepts J Bolt, B Coecke, F Genovese, M Lewis, D Marsden, R Piedeleu Conceptual spaces: Elaborations and applications, 151-181, 2019 | 57 | 2019 |
| Metaphor understanding challenge dataset for LLMs X Tong, R Choenni, M Lewis, E Shutova Proceedings of the 62nd Annual Meeting of the Association for Computational …, 2024 | 35 | 2024 |
| Evaluating the robustness of analogical reasoning in large language models M Lewis, M Mitchell Transactions on Machine Learning Research, 2025 | 32 | 2025 |
| Generalized relations in linguistics & cognition B Coecke, F Genovese, M Lewis, D Marsden, A Toumi Theoretical computer science 752, 104-115, 2018 | 31 | 2018 |
| Modelling lexical ambiguity with density matrices F Meyer, M Lewis Proceedings of the 24th Conference on Computational Natural Language …, 2020 | 28 | 2020 |
| Compositional hyponymy with positive operators M Lewis Proceedings of the International Conference on Recent Advances in Natural …, 2019 | 25 | 2019 |
| Interacting conceptual spaces J Bolt, B Coecke, F Genovese, M Lewis, D Marsden, R Piedeleu Electronic Proceedings in Theoretical Computer Science 221, 2016 | 23 | 2016 |
| Towards logical negation for compositional distributional semantics M Lewis arXiv preprint arXiv:2005.04929, 2020 | 18 | 2020 |
| Compositionality for recursive neural networks M Lewis arXiv preprint arXiv:1901.10723, 2019 | 17 | 2019 |
| Internal wiring of cartesian verbs and prepositions B Coecke, M Lewis, D Marsden arXiv preprint arXiv:1811.05770, 2018 | 15 | 2018 |
| A Label Semantics Approach to Linguistic Hedges M Lewis, J Lawry International Journal of Approximate Reasoning 55 (5), 1147-1163, 2014 | 15 | 2014 |
| Cats climb entails mammals move: preserving hyponymy in compositional distributional semantics G De las Cuevas, A Klingler, M Lewis, T Netzer Journal of Cognitive Science 22 (3), 311-353, 2021 | 13 | 2021 |
| A compositional explanation of the ‘pet fish’phenomenon B Coecke, M Lewis International Symposium on Quantum Interaction, 179-192, 2015 | 12 | 2015 |