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2020 – today
- 2025
[i13]Bryan Guan, Tanya G. Roosta, Peyman Passban, Mehdi Rezagholizadeh:
The Order Effect: Investigating Prompt Sensitivity in Closed-Source LLMs. CoRR abs/2502.04134 (2025)- 2023
- [i12]Manas Ranjan Mohanty, Tanya G. Roosta, Peyman Passban:
What is Lost in Knowledge Distillation? CoRR abs/2311.04142 (2023) - 2022
- [c14]Krtin Kumar, Peyman Passban, Mehdi Rezagholizadeh, Yiu Sing Lau, Qun Liu:
From Fully Trained to Fully Random Embeddings: Improving Neural Machine Translation with Compact Word Embedding Tables. AAAI 2022: 10930-10937 - [c13]Joyce Zheng, Mehdi Rezagholizadeh, Peyman Passban:
Dynamic Position Encoding for Transformers. COLING 2022: 5076-5084 - [c12]Peyman Passban, Tanya G. Roosta, Rahul Gupta, Ankit Chadha, Clement Chung:
Training Mixed-Domain Translation Models via Federated Learning. NAACL-HLT 2022: 2576-2586 - [i11]Joyce Zheng, Mehdi Rezagholizadeh, Peyman Passban:
Dynamic Position Encoding for Transformers. CoRR abs/2204.08142 (2022) - [i10]Peyman Passban, Tanya G. Roosta, Rahul Gupta, Ankit Chadha, Clement Chung:
Training Mixed-Domain Translation Models via Federated Learning. CoRR abs/2205.01557 (2022) - 2021
- [c11]Peyman Passban, Yimeng Wu, Mehdi Rezagholizadeh, Qun Liu:
ALP-KD: Attention-Based Layer Projection for Knowledge Distillation. AAAI 2021: 13657-13665 - [c10]Ehsan Kamalloo, Mehdi Rezagholizadeh, Peyman Passban, Ali Ghodsi:
Not Far Away, Not So Close: Sample Efficient Nearest Neighbour Data Augmentation via MiniMax. ACL/IJCNLP (Findings) 2021: 3522-3533 - [c9]Peyman Passban, Puneeth S. M. Saladi, Qun Liu:
Revisiting Robust Neural Machine Translation: A Transformer Case Study. EMNLP (Findings) 2021: 3831-3840 - [i9]Kira A. Selby, Yinong Wang, Ruizhe Wang, Peyman Passban, Ahmad Rashid, Mehdi Rezagholizadeh, Pascal Poupart:
Robust Embeddings Via Distributions. CoRR abs/2104.08420 (2021) - [i8]Ehsan Kamalloo, Mehdi Rezagholizadeh, Peyman Passban, Ali Ghodsi:
Not Far Away, Not So Close: Sample Efficient Nearest Neighbour Data Augmentation via MiniMax. CoRR abs/2105.13608 (2021) - [i7]Tanya G. Roosta, Peyman Passban, Ankit Chadha:
Communication-Efficient Federated Learning for Neural Machine Translation. CoRR abs/2112.06135 (2021) - 2020
- [c8]Yimeng Wu, Peyman Passban, Mehdi Rezagholizadeh, Qun Liu:
Why Skip If You Can Combine: A Simple Knowledge Distillation Technique for Intermediate Layers. EMNLP (1) 2020: 1016-1021 - [i6]Yimeng Wu, Peyman Passban, Mehdi Rezagholizadeh, Qun Liu:
Why Skip If You Can Combine: A Simple Knowledge Distillation Technique for Intermediate Layers. CoRR abs/2010.03034 (2020) - [i5]Peyman Passban, Yimeng Wu
, Mehdi Rezagholizadeh, Qun Liu:
ALP-KD: Attention-Based Layer Projection for Knowledge Distillation. CoRR abs/2012.14022 (2020) - [i4]Peyman Passban, Puneeth S. M. Saladi, Qun Liu:
Revisiting Robust Neural Machine Translation: A Transformer Case Study. CoRR abs/2012.15710 (2020)
2010 – 2019
- 2018
- [c7]Peyman Passban, Andy Way, Qun Liu:
Tailoring Neural Architectures for Translating from Morphologically Rich Languages. COLING 2018: 3134-3145 - [c6]Alberto Poncelas, Dimitar Shterionov, Andy Way, Gideon Maillette de Buy Wenniger, Peyman Passban:
Investigating Backtranslation in Neural Machine Translation. EAMT 2018: 269-278 - [c5]Peyman Passban, Qun Liu, Andy Way:
Improving Character-Based Decoding Using Target-Side Morphological Information for Neural Machine Translation. NAACL-HLT 2018: 58-68 - [i3]Alberto Poncelas, Dimitar Sht. Shterionov, Andy Way, Gideon Maillette de Buy Wenniger, Peyman Passban:
Investigating Backtranslation in Neural Machine Translation. CoRR abs/1804.06189 (2018) - [i2]Peyman Passban, Qun Liu, Andy Way:
Improving Character-based Decoding Using Target-Side Morphological Information for Neural Machine Translation. CoRR abs/1804.06506 (2018) - 2017
- [j3]Peyman Passban, Qun Liu, Andy Way:
Providing Morphological Information for SMT Using Neural Networks. Prague Bull. Math. Linguistics 108: 271-282 (2017) - [j2]Peyman Passban, Qun Liu, Andy Way:
Translating Low-Resource Languages by Vocabulary Adaptation from Close Counterparts. ACM Trans. Asian Low Resour. Lang. Inf. Process. 16(4): 29:1-29:14 (2017) - [i1]Behrang QasemiZadeh, Laura Kallmeyer, Peyman Passban:
Sketching Word Vectors Through Hashing. CoRR abs/1705.04253 (2017) - 2016
- [j1]Peyman Passban, Qun Liu, Andy Way:
Boosting Neural POS Tagger for Farsi Using Morphological Information. ACM Trans. Asian Low Resour. Lang. Inf. Process. 16(1): 4:1-4:15 (2016) - [c4]Peyman Passban, Qun Liu, Andy Way:
Enriching Phrase Tables for Statistical Machine Translation Using Mixed Embeddings. COLING 2016: 2582-2591 - [c3]Peyman Passban, Chris Hokamp, Andy Way, Qun Liu:
Improving Phrase-Based SMT Using Cross-Granularity Embedding Similarity. EAMT 2016: 129-140 - 2015
- [c2]Peyman Passban, Andy Way, Qun Liu:
Benchmarking SMT Performance for Farsi Using the TEP++ Corpus. EAMT 2015 - [c1]Peyman Passban, Chris Hokamp, Qun Liu:
Bilingual distributed phrase representations for statistical machin translation. MTSummit 2015
Coauthor Index
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