Benchmarking SMT Performance for Farsi Using the TEP++ Corpus. - Peyman Passban; Andy Way; Qun Liu 001 (EAMT, 2015)

Bilingual distributed phrase representations for statistical machin translation. - Peyman Passban; Chris Hokamp; Qun Liu 001 (MTSummit, 2015)

Enriching Phrase Tables for Statistical Machine Translation Using Mixed Embeddings. - Peyman Passban; Qun Liu 001; Andy Way (COLING, 2016)

Improving Phrase-Based SMT Using Cross-Granularity Embedding Similarity. - Peyman Passban; Chris Hokamp; Andy Way; Qun Liu 001 (EAMT, 2016)

Boosting Neural POS Tagger for Farsi Using Morphological Information. - Peyman Passban; Qun Liu 001; Andy Way (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2016)

Sketching Word Vectors Through Hashing. - Behrang QasemiZadeh; Laura Kallmeyer; Peyman Passban (CoRR, 2017)

Providing Morphological Information for SMT Using Neural Networks. - Peyman Passban; Qun Liu 001; Andy Way (Prague Bull. Math. Linguistics, 2017)

Translating Low-Resource Languages by Vocabulary Adaptation from Close Counterparts. - Peyman Passban; Qun Liu 001; Andy Way (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2017)

Tailoring Neural Architectures for Translating from Morphologically Rich Languages. - Peyman Passban; Andy Way; Qun Liu 001 (COLING, 2018)

Investigating Backtranslation in Neural Machine Translation. - Alberto Poncelas; Dimitar Shterionov; Andy Way; Gideon Maillette de Buy Wenniger; Peyman Passban (EAMT, 2018)

Improving Character-Based Decoding Using Target-Side Morphological Information for Neural Machine Translation. - Peyman Passban; Qun Liu 001; Andy Way (NAACL-HLT, 2018)

Why Skip If You Can Combine: A Simple Knowledge Distillation Technique for Intermediate Layers. - Yimeng Wu; Peyman Passban; Mehdi Rezagholizadeh; Qun Liu 001 (EMNLP (1), 2020)

ALP-KD: Attention-Based Layer Projection for Knowledge Distillation. - Peyman Passban; Yimeng Wu; Mehdi Rezagholizadeh; Qun Liu 001 (AAAI, 2021)

Not Far Away, Not So Close: Sample Efficient Nearest Neighbour Data Augmentation via MiniMax. - Ehsan Kamalloo; Mehdi Rezagholizadeh; Peyman Passban; Ali Ghodsi 001 (ACL/IJCNLP (Findings), 2021)

Revisiting Robust Neural Machine Translation: A Transformer Case Study. - Peyman Passban; Puneeth S. M. Saladi; Qun Liu 001 (EMNLP (Findings), 2021)

Robust Embeddings Via Distributions. - Kira A. Selby; Yinong Wang; Ruizhe Wang; Peyman Passban; Ahmad Rashid; Mehdi Rezagholizadeh; Pascal Poupart (CoRR, 2021)

Communication-Efficient Federated Learning for Neural Machine Translation. - Tanya G. Roosta; Peyman Passban; Ankit Chadha (CoRR, 2021)

From Fully Trained to Fully Random Embeddings: Improving Neural Machine Translation with Compact Word Embedding Tables. - Krtin Kumar; Peyman Passban; Mehdi Rezagholizadeh; Yiu Sing Lau; Qun Liu 001 (AAAI, 2022)

Dynamic Position Encoding for Transformers. - Joyce Zheng; Mehdi Rezagholizadeh; Peyman Passban (COLING, 2022)

Training Mixed-Domain Translation Models via Federated Learning. - Peyman Passban; Tanya G. Roosta; Rahul Gupta 001; Ankit Chadha; Clement Chung (NAACL-HLT, 2022)

What is Lost in Knowledge Distillation? - Manas Ranjan Mohanty; Tanya G. Roosta; Peyman Passban (CoRR, 2023)

The Order Effect: Investigating Prompt Sensitivity in Closed-Source LLMs. - Bryan Guan; Tanya G. Roosta; Peyman Passban; Mehdi Rezagholizadeh (CoRR, 2025)