Akyürek, Ekin

What learning algorithm is in-context learning? Investigations with linear models

Akyürek, E., Schuurmans, D., Andreas, J., Ma, T., & Zhou, D. (2022) · arXiv

Domain Adaptation and Few-Shot LearningNeural Networks and Applications

Cited by 86

Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks

Wu, Z., Qiu, L., Ross, A., Akyürek, E., Chen, B., Wang, B., Kim, N., Andreas, J., & Kim, Y. (2024) · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 58

Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks

Wu, Z., Qiu, L., Ross, A., Akyürek, E., Chen, B., Wang, B., Kim, N., Andreas, J., & Kim, Y. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 19

Deductive Closure Training of Language Models for Coherence, Accuracy, and Updatability

Akyürek, A. F., Akyürek, E., Choshen, L., Wijaya, D., & Andreas, J. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 4

The Surprising Effectiveness of Test-Time Training for Few-Shot Learning

Akyürek, E., Damani, M., Zweiger, A., Qiu, L., Guo, H., Pari, J., Kim, Y., & Andreas, J. (2024) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 4

RL4F: Generating Natural Language Feedback with Reinforcement Learning for Repairing Model Outputs

Akyürek, A. F., Akyürek, E., Madaan, A., Kalyan, A., Clark, P., Wijaya, D., & Tandon, N. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 4

In-Context Language Learning: Architectures and Algorithms

Akyürek, E., Wang, B., Kim, Y., & Andreas, J. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 3

Elements of World Knowledge (EWOK): A cognition-inspired framework for evaluating basic world knowledge in language models

Ivanova, A. A., Sathe, A., Lipkin, B., Kumar, U., Radkani, S., Clark, T. H., Kauf, C., Hu, J., Pramod, R. T., Grand, G., et al. (2024) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 2