Rush, Alexander M.

Parameter-Efficient Transfer Learning with Diff Pruning

Guo, D., Rush, A. M., & Kim, Y. (2020) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 20

Rationales for Sequential Predictions

Vafa, K., Deng, Y., Blei, D., & Rush, A. (2021) · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

Explainable Artificial Intelligence (XAI)Topic Modeling

Cited by 14

ESB: A Benchmark For Multi-Domain End-to-End Speech Recognition

Gandhi, S., von Platen, P., & Rush, A. M. (2022) · arXiv

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 13

Composer 2 Technical Report

Research, C., :, Chan, A., Shalaby, A., Wettig, A., Sanger, A., Zhai, A., Ajay, A., Nair, A., Snell, C., et al. (2026) · arXiv

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 1

Commit0: Library Generation from Scratch

Zhao, W., Jiang, N., Lee, C., Chiu, J. T., Cardie, C., Gallé, M., & Rush, A. M. (2024) · arXiv

Software Engineering ResearchSoftware Testing and Debugging Techniques

Cited by 0

Critical thinking: Which kinds of complexity govern optimal reasoning length?

Lee, C., Rush, A. M., & Vafa, K. (2025) · Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics

Natural Language Processing TechniquesTopic Modeling

Cited by 0