Robustness through Cognitive Dissociation Mitigation in Contrastive Adversarial Training. - Adir Rahamim; Itay Naeh (ICMLC, 2022)

Text Augmentation Using Dataset Reconstruction for Low-Resource Classification. - Adir Rahamim; Guy Uziel; Esther Goldbraich; Ateret Anaby-Tavor (ACL (Findings), 2023)

ContraSim - A Similarity Measure Based on Contrastive Learning. - Adir Rahamim; Yonatan Belinkov (CoRR, 2023)

Fast Forwarding Low-Rank Training. - Adir Rahamim; Naomi Saphra; Sara Kangaslahti; Yonatan Belinkov (EMNLP, 2024)

ContraSim - Analyzing Neural Representations Based on Contrastive Learning. - Adir Rahamim; Yonatan Belinkov (NAACL-HLT, 2024)

Growing a Tail: Increasing Output Diversity in Large Language Models. - Michal Shur-Ofry; Bar Horowitz-Amsalem; Adir Rahamim; Yonatan Belinkov (CoRR, 2024)