| What learning algorithm is in-context learning? investigations with linear models E Akyürek, D Schuurmans, J Andreas, T Ma, D Zhou International Conference on Learning Representations, 2023 | 441* | 2023 |
| Pre-trained language models for interactive decision-making S Li, X Puig, C Paxton, Y Du, C Wang, L Fan, T Chen, DA Huang, ... Advances in Neural Information Processing Systems, 2022 | 247* | 2022 |
| Reasoning or reciting? exploring the capabilities and limitations of language models through counterfactual tasks Z Wu, L Qiu, A Ross, E Akyürek, B Chen, B Wang, N Kim, J Andreas, ... Annual Conference of the Nations of the Americas Chapter of the Association …, 2024 | 146 | 2024 |
| Compositional semantic parsing with large language models A Drozdov, N Schärli, E Akyürek, N Scales, X Song, X Chen, O Bousquet, ... The Eleventh International Conference on Learning Representations, 2023 | 126 | 2023 |
| Learning to recombine and resample data for compositional generalization E Akyürek, AF Akyürek, J Andreas International Conference on Learning Representations, 2021 | 99 | 2021 |
| RL4F: Generating natural language feedback with reinforcement learning for repairing model outputs AF Akyürek, E Akyürek, A Madaan, A Kalyan, P Clark, D Wijaya, ... Annual Meeting of the Association for Computational Linguistics, 2023 | 77 | 2023 |
| Subspace Regularizers for Few-Shot Class Incremental Learning AF Akyürek, E Akyürek, D Wijaya, J Andreas International Conference on Learning Representations, 2022 | 75 | 2022 |
| Towards tracing factual knowledge in language models back to the training data E Akyürek, T Bolukbasi, F Liu, B Xiong, I Tenney, J Andreas, K Guu Conference on Empirical Methods in Natural Language Processing (Findings), 2022 | 74 | 2022 |
| Lexicon Learning for Few-Shot Neural Sequence Modeling E Akyürek, J Andreas Annual Meeting of the Association for Computational Linguistics, 2021 | 48* | 2021 |
| In-context language learning: Arhitectures and algorithms E Akyürek, B Wang, Y Kim, J Andreas International Conference on Machine Learning, 2024 | 47 | 2024 |
| Morphological analysis using a sequence decoder E Akyürek, E Dayanık, D Yuret Transactions of the Association for Computational Linguistics 7, 2019 | 31* | 2019 |
| Compositionality as lexical symmetry E Akyürek, J Andreas Annual Meeting of the Association for Computational Linguistics, 2023 | 20* | 2023 |
| Through the glance mug: A familiar artefact to support opportunistic search in meetings A Börütecene, I Bostan, E Akyürek, A Sabuncuoglu, I Temuzkusu, Ç Genç, ... Proceedings of the Twelfth International Conference on Tangible, Embedded …, 2018 | 9 | 2018 |
| Deductive Closure Training of Language Models for Coherence, Accuracy, and Updatability A Feyza Akyürek, E Akyürek, L Choshen, D Wijaya, J Andreas Annual Meeting of the Association for Computational Linguistics (Findings), 2024 | 8* | 2024 |
| Elements of World Knowledge (EWOK): A cognition-inspired framework for evaluating basic world knowledge in language models AA Ivanova, A Sathe, B Lipkin, U Kumar, S Radkani, TH Clark, C Kauf, ... arXiv preprint arXiv:2405.09605, 2024 | 3 | 2024 |
| The Surprising Effectiveness of Test-Time Training for Abstract Reasoning E Akyürek, M Damani, L Qiu, H Guo, Y Kim, J Andreas arXiv preprint arXiv:2411.07279, 2024 | | 2024 |
| Learning Linear Attention in Polynomial Time M Yau, E Akyürek, J Mao, JB Tenenbaum, S Jegelka, J Andreas arXiv preprint arXiv:2410.10101, 2024 | | 2024 |
| Backpropagation through Back Substitution with a Backslash A Edelman, E Akyürek, Y Wang SIAM Journal on Matrix Analysis and Applications 45 (1), 2024 | | 2024 |
| Notes on Teaching GPT-3 Adding Numbers E Akyürek, AF Akyürek https://lingo.csail.mit.edu/blog/arithmetic_gpt3, 2022 | | 2022 |
| Compositional Models for Few Shot Sequence Learning E Akyurek Massachusetts Institute of Technology, 2021 | | 2021 |
Jacob AndreasMITVerified email at mit.edu
