Ebrahimi, Sayna
Google (United States) · Google DeepMind (United Kingdom)
4 papers on CoChatORCID 0000-0003-3133-8867
Most cited papers
- Verified
Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders
Schönfeld, E., Ebrahimi, S., Sinha, S., Darrell, T., & Akata, Z. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications
Cited by 747
- Verified
Continual Learning of Large Language Models: A Comprehensive Survey
Shi, H., Xu, Z., Wang, H., Qin, W., Wang, W., Wang, Y., Wang, Z., Ebrahimi, S., & Wang, H. (2024) · arXiv
Domain Adaptation and Few-Shot LearningTopic Modeling
Cited by 135
- Verified
Model Swarms: Collaborative Search to Adapt LLM Experts via Swarm Intelligence
Feng, S., Wang, Z., Wang, Y., Ebrahimi, S., Palangi, H., Miculicich, L., Kulshrestha, A., Rauschmayr, N., Choi, Y., Tsvetkov, Y., et al. (2024) · arXiv
Domain Adaptation and Few-Shot LearningTopic Modeling
Cited by 24
- Verified
Adaptation with Self-Evaluation to Improve Selective Prediction in LLMs
Chen, J., Yoon, J., Ebrahimi, S., Arik, S., Pfister, T., & Jha, S. (2023) · Findings of the Association for Computational Linguistics: EMNLP 2023
Topic ModelingNatural Language Processing Techniques
Cited by 13
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