Multi-defect microscopy image restoration under limited data conditions. - Anastasia Razdaibiedina; Jeevaa Velayutham; Miti Modi (CoRR, 2019)

Improving language models fine-tuning with representation consistency targets. - Anastasia Razdaibiedina; Vivek Madan; Zohar Karnin; Ashish Khetan; Vishaal Kapoor (CoRR, 2022)

Learning multi-scale functional representations of proteins from single-cell microscopy data. - Anastasia Razdaibiedina; Alexander Brechalov (CoRR, 2022)

MIReAD: Simple Method for Learning High-quality Representations from Scientific Documents. - Anastasia Razdaibiedina; Aleksander Brechalov (ACL (2), 2023)

Residual Prompt Tuning: improving prompt tuning with residual reparameterization. - Anastasia Razdaibiedina; Yuning Mao; Madian Khabsa; Mike Lewis; Rui Hou; Jimmy Ba; Amjad Almahairi (ACL (Findings), 2023)

Representation Projection Invariance Mitigates Representation Collapse. - Anastasia Razdaibiedina; Ashish Khetan; Zohar Karnin; Daniel Khashabi; Vivek Madan (EMNLP (Findings), 2023)

Progressive Prompts: Continual Learning for Language Models. - Anastasia Razdaibiedina; Yuning Mao; Rui Hou; Madian Khabsa; Mike Lewis; Amjad Almahairi (ICLR, 2023)

MIReAD: Simple Method for Learning High-quality Representations from Scientific Documents. - Anastasia Razdaibiedina; Alexander Brechalov (CoRR, 2023)

Orca 2: Teaching Small Language Models How to Reason. - Arindam Mitra; Luciano Del Corro; Shweti Mahajan; Andrés Codas; Clarisse Simões; Sahaj Agrawal; Xuxi Chen; Anastasia Razdaibiedina; Erik Jones; Kriti Aggarwal; Hamid Palangi; Guoqing Zheng; et al. (CoRR, 2023)