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Ekin Akyürek
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2020 – today
- 2024
- [j2]Alan Edelman, Ekin Akyürek, Yuyang Wang:
Backpropagation through Back Substitution with a Backslash. SIAM J. Matrix Anal. Appl. 45(1): 429-449 (2024) - [c13]Afra Feyza Akyürek, Ekin Akyürek, Leshem Choshen, Derry Wijaya, Jacob Andreas:
Deductive Closure Training of Language Models for Coherence, Accuracy, and Updatability. ACL (Findings) 2024: 9802-9818 - [c12]Ekin Akyürek, Bailin Wang, Yoon Kim, Jacob Andreas:
In-Context Language Learning: Architectures and Algorithms. ICML 2024 - [c11]Zhaofeng Wu, Linlu Qiu, Alexis Ross, Ekin Akyürek, Boyuan Chen, Bailin Wang, Najoung Kim, Jacob Andreas, Yoon Kim:
Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks. NAACL-HLT 2024: 1819-1862 - [i16]Afra Feyza Akyürek, Ekin Akyürek, Leshem Choshen, Derry Wijaya, Jacob Andreas:
Deductive Closure Training of Language Models for Coherence, Accuracy, and Updatability. CoRR abs/2401.08574 (2024) - [i15]Ekin Akyürek, Bailin Wang, Yoon Kim, Jacob Andreas:
In-Context Language Learning: Architectures and Algorithms. CoRR abs/2401.12973 (2024) - [i14]Anna A. Ivanova, Aalok Sathe, Benjamin Lipkin, Unnathi Kumar, Setayesh Radkani, Thomas Hikaru Clark, Carina Kauf, Jennifer Hu, R. T. Pramod, Gabriel Grand, Vivian C. Paulun, Maria Ryskina, Ekin Akyürek, Ethan Wilcox, Nafisa Rashid, Leshem Choshen, Roger Levy, Evelina Fedorenko, Joshua B. Tenenbaum, Jacob Andreas:
Elements of World Knowledge (EWOK): A cognition-inspired framework for evaluating basic world knowledge in language models. CoRR abs/2405.09605 (2024) - [i13]Morris Yau, Ekin Akyürek, Jiayuan Mao, Joshua B. Tenenbaum, Stefanie Jegelka, Jacob Andreas:
Learning Linear Attention in Polynomial Time. CoRR abs/2410.10101 (2024) - 2023
- [c10]Ekin Akyürek, Jacob Andreas:
LexSym: Compositionality as Lexical Symmetry. ACL (1) 2023: 639-657 - [c9]Afra Feyza Akyürek, Ekin Akyürek, Ashwin Kalyan, Peter Clark, Derry Tanti Wijaya, Niket Tandon:
RL4F: Generating Natural Language Feedback with Reinforcement Learning for Repairing Model Outputs. ACL (1) 2023: 7716-7733 - [c8]Ekin Akyürek, Dale Schuurmans, Jacob Andreas, Tengyu Ma, Denny Zhou:
What learning algorithm is in-context learning? Investigations with linear models. ICLR 2023 - [c7]Andrew Drozdov, Nathanael Schärli, Ekin Akyürek, Nathan Scales, Xinying Song, Xinyun Chen, Olivier Bousquet, Denny Zhou:
Compositional Semantic Parsing with Large Language Models. ICLR 2023 - [i12]Alan Edelman, Ekin Akyürek, Yuyang Wang:
BACKpropagation through BACK substitution with a BACKslash. CoRR abs/2303.15449 (2023) - [i11]Afra Feyza Akyürek, Ekin Akyürek, Aman Madaan, Ashwin Kalyan, Peter Clark, Derry Wijaya, Niket Tandon:
RL4F: Generating Natural Language Feedback with Reinforcement Learning for Repairing Model Outputs. CoRR abs/2305.08844 (2023) - [i10]Zhaofeng Wu, Linlu Qiu, Alexis Ross, Ekin Akyürek, Boyuan Chen, Bailin Wang, Najoung Kim, Jacob Andreas, Yoon Kim:
Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks. CoRR abs/2307.02477 (2023) - 2022
- [c6]Ekin Akyürek, Tolga Bolukbasi, Frederick Liu, Binbin Xiong, Ian Tenney, Jacob Andreas, Kelvin Guu:
Towards Tracing Knowledge in Language Models Back to the Training Data. EMNLP (Findings) 2022: 2429-2446 - [c5]Afra Feyza Akyürek, Ekin Akyürek, Derry Wijaya, Jacob Andreas:
Subspace Regularizers for Few-Shot Class Incremental Learning. ICLR 2022 - [c4]Shuang Li, Xavier Puig, Chris Paxton, Yilun Du, Clinton Wang, Linxi Fan, Tao Chen, De-An Huang, Ekin Akyürek, Anima Anandkumar, Jacob Andreas, Igor Mordatch, Antonio Torralba, Yuke Zhu:
Pre-Trained Language Models for Interactive Decision-Making. NeurIPS 2022 - [i9]Ekin Akyürek, Jacob Andreas:
Compositionality as Lexical Symmetry. CoRR abs/2201.12926 (2022) - [i8]Shuang Li, Xavier Puig, Chris Paxton, Yilun Du, Clinton Wang, Linxi Fan, Tao Chen, De-An Huang, Ekin Akyürek, Anima Anandkumar, Jacob Andreas, Igor Mordatch, Antonio Torralba, Yuke Zhu:
Pre-Trained Language Models for Interactive Decision-Making. CoRR abs/2202.01771 (2022) - [i7]Ekin Akyürek, Tolga Bolukbasi, Frederick Liu, Binbin Xiong, Ian Tenney, Jacob Andreas, Kelvin Guu:
Tracing Knowledge in Language Models Back to the Training Data. CoRR abs/2205.11482 (2022) - [i6]Andrew Drozdov, Nathanael Schärli, Ekin Akyürek, Nathan Scales, Xinying Song, Xinyun Chen, Olivier Bousquet, Denny Zhou:
Compositional Semantic Parsing with Large Language Models. CoRR abs/2209.15003 (2022) - [i5]Ekin Akyürek, Dale Schuurmans, Jacob Andreas, Tengyu Ma, Denny Zhou:
What learning algorithm is in-context learning? Investigations with linear models. CoRR abs/2211.15661 (2022) - 2021
- [c3]Ekin Akyürek, Jacob Andreas:
Lexicon Learning for Few Shot Sequence Modeling. ACL/IJCNLP (1) 2021: 4934-4946 - [c2]Ekin Akyürek, Afra Feyza Akyürek, Jacob Andreas:
Learning to Recombine and Resample Data For Compositional Generalization. ICLR 2021 - [i4]Ekin Akyürek, Jacob Andreas:
Lexicon Learning for Few-Shot Neural Sequence Modeling. CoRR abs/2106.03993 (2021) - [i3]Afra Feyza Akyürek, Ekin Akyürek, Derry Wijaya, Jacob Andreas:
Subspace Regularizers for Few-Shot Class Incremental Learning. CoRR abs/2110.07059 (2021) - 2020
- [i2]Ekin Akyürek, Afra Feyza Akyürek, Jacob Andreas:
Learning to Recombine and Resample Data for Compositional Generalization. CoRR abs/2010.03706 (2020)
2010 – 2019
- 2019
- [j1]Ekin Akyürek, Erenay Dayanik, Deniz Yuret:
Morphological Analysis Using a Sequence Decoder. Trans. Assoc. Comput. Linguistics 7: 567-579 (2019) - 2018
- [c1]Ahmet Börütecene, Idil Bostan, Ekin Akyürek, Alpay Sabuncuoglu, Ilker Temuzkusu, Çaglar Genç, Tilbe Göksun, Oguzhan Özcan:
Through the Glance Mug: A Familiar Artefact to Support Opportunistic Search in Meetings. TEI 2018: 674-683 - [i1]Erenay Dayanik, Ekin Akyürek, Deniz Yuret:
MorphNet: A sequence-to-sequence model that combines morphological analysis and disambiguation. CoRR abs/1805.07946 (2018)
Coauthor Index
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last updated on 2024-11-25 23:42 CET by the dblp team
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