Unsupervised Product Entity Resolution using Graph Representation Learning. - Mozhdeh Gheini; Mayank Kejriwal (eCOM@SIGIR, 2019)

A Universal Parent Model for Low-Resource Neural Machine Translation Transfer. - Mozhdeh Gheini; Jonathan May (CoRR, 2019)

Cross-Attention is All You Need: Adapting Pretrained Transformers for Machine Translation. - Mozhdeh Gheini; Xiang Ren 001; Jonathan May (EMNLP (1), 2021)

On the Strengths of Cross-Attention in Pretrained Transformers for Machine Translation. - Mozhdeh Gheini; Xiang Ren 001; Jonathan May (CoRR, 2021)

ParsiNLU: A Suite of Language Understanding Challenges for Persian. - Daniel Khashabi; Arman Cohan; Siamak Shakeri; Pedram Hosseini; Pouya Pezeshkpour; Malihe Alikhani; Moin Aminnaseri; Marzieh Bitaab; Faeze Brahman; Sarik Ghazarian; Mozhdeh Gheini; Arman Kabiri; et al. (Trans. Assoc. Comput. Linguistics, 2021)

Checks and Strategies for Enabling Code-Switched Machine Translation. - Thamme Gowda; Mozhdeh Gheini; Jonathan May (CoRR, 2022)

Joint Speech Transcription and Translation: Pseudo-Labeling with Out-of-Distribution Data. - Mozhdeh Gheini; Tatiana Likhomanenko; Matthias Sperber; Hendra Setiawan (ACL (Findings), 2023)

Know Where You're Going: Meta-Learning for Parameter-Efficient Fine-Tuning. - Mozhdeh Gheini; Xuezhe Ma; Jonathan May (ACL (Findings), 2023)

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. - Aarohi Srivastava; Abhinav Rastogi; Abhishek Rao; Abu Awal Md Shoeb; Abubakar Abid; Adam Fisch; Adam R. Brown; Adam Santoro; Aditya Gupta; Adrià Garriga-Alonso; Agnieszka Kluska; Aitor Lewkowycz; et al. (Trans. Mach. Learn. Res., 2023)

Generating Gender Alternatives in Machine Translation. - Sarthak Garg; Mozhdeh Gheini; Clara Emmanuel; Tatiana Likhomanenko; Qin Gao; Matthias Paulik (CoRR, 2024)