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Marjan Ghazvininejad
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2020 – today
- 2024
- [c32]Yu Meng, Jitin Krishnan, Sinong Wang, Qifan Wang, Yuning Mao, Han Fang, Marjan Ghazvininejad, Jiawei Han, Luke Zettlemoyer:
Representation Deficiency in Masked Language Modeling. ICLR 2024 - [c31]Xiaochuang Han, Sachin Kumar, Yulia Tsvetkov, Marjan Ghazvininejad:
David helps Goliath: Inference-Time Collaboration Between Small Specialized and Large General Diffusion LMs. NAACL-HLT 2024: 8385-8400 - 2023
- [c30]Sweta Agrawal, Chunting Zhou, Mike Lewis, Luke Zettlemoyer, Marjan Ghazvininejad:
In-context Examples Selection for Machine Translation. ACL (Findings) 2023: 8857-8873 - [c29]Davis Liang, Hila Gonen, Yuning Mao, Rui Hou, Naman Goyal, Marjan Ghazvininejad, Luke Zettlemoyer, Madian Khabsa:
XLM-V: Overcoming the Vocabulary Bottleneck in Multilingual Masked Language Models. EMNLP 2023: 13142-13152 - [i28]Davis Liang, Hila Gonen, Yuning Mao, Rui Hou, Naman Goyal, Marjan Ghazvininejad, Luke Zettlemoyer, Madian Khabsa:
XLM-V: Overcoming the Vocabulary Bottleneck in Multilingual Masked Language Models. CoRR abs/2301.10472 (2023) - [i27]Yu Meng, Jitin Krishnan, Sinong Wang, Qifan Wang, Yuning Mao, Han Fang, Marjan Ghazvininejad, Jiawei Han, Luke Zettlemoyer:
Representation Deficiency in Masked Language Modeling. CoRR abs/2302.02060 (2023) - [i26]Marjan Ghazvininejad, Hila Gonen, Luke Zettlemoyer:
Dictionary-based Phrase-level Prompting of Large Language Models for Machine Translation. CoRR abs/2302.07856 (2023) - [i25]Xiaochuang Han, Sachin Kumar, Yulia Tsvetkov, Marjan Ghazvininejad:
SSD-2: Scaling and Inference-time Fusion of Diffusion Language Models. CoRR abs/2305.14771 (2023) - 2022
- [c28]Freda Shi, Daniel Fried, Marjan Ghazvininejad, Luke Zettlemoyer, Sida I. Wang:
Natural Language to Code Translation with Execution. EMNLP 2022: 3533-3546 - [c27]Marjan Ghazvininejad, Vladimir Karpukhin, Vera Gor, Asli Celikyilmaz:
Discourse-Aware Soft Prompting for Text Generation. EMNLP 2022: 4570-4589 - [c26]Eleftheria Briakou, Sida I. Wang, Luke Zettlemoyer, Marjan Ghazvininejad:
BitextEdit: Automatic Bitext Editing for Improved Low-Resource Machine Translation. NAACL-HLT (Findings) 2022: 1469-1485 - [i24]Badr AlKhamissi, Millicent Li, Asli Celikyilmaz, Mona T. Diab, Marjan Ghazvininejad:
A Review on Language Models as Knowledge Bases. CoRR abs/2204.06031 (2022) - [i23]Freda Shi, Daniel Fried, Marjan Ghazvininejad, Luke Zettlemoyer, Sida I. Wang:
Natural Language to Code Translation with Execution. CoRR abs/2204.11454 (2022) - [i22]Sweta Agrawal, Chunting Zhou, Mike Lewis, Luke Zettlemoyer, Marjan Ghazvininejad:
In-context Examples Selection for Machine Translation. CoRR abs/2212.02437 (2022) - 2021
- [c25]Chunting Zhou, Graham Neubig, Jiatao Gu, Mona T. Diab, Francisco Guzmán, Luke Zettlemoyer, Marjan Ghazvininejad:
Detecting Hallucinated Content in Conditional Neural Sequence Generation. ACL/IJCNLP (Findings) 2021: 1393-1404 - [c24]Bhargavi Paranjape, Julian Michael, Marjan Ghazvininejad, Hannaneh Hajishirzi, Luke Zettlemoyer:
Prompting Contrastive Explanations for Commonsense Reasoning Tasks. ACL/IJCNLP (Findings) 2021: 4179-4192 - [c23]Asa Cooper Stickland, Xian Li, Marjan Ghazvininejad:
Recipes for Adapting Pre-trained Monolingual and Multilingual Models to Machine Translation. EACL 2021: 3440-3453 - [c22]Chunting Zhou, Daniel Levy, Xian Li, Marjan Ghazvininejad, Graham Neubig:
Distributionally Robust Multilingual Machine Translation. EMNLP (1) 2021: 5664-5674 - [c21]Sachin Mehta, Marjan Ghazvininejad, Srinivasan Iyer, Luke Zettlemoyer, Hannaneh Hajishirzi:
DeLighT: Deep and Light-weight Transformer. ICLR 2021 - [c20]Alexander R. Fabbri, Simeng Han, Haoyuan Li, Haoran Li, Marjan Ghazvininejad, Shafiq R. Joty, Dragomir R. Radev, Yashar Mehdad:
Improving Zero and Few-Shot Abstractive Summarization with Intermediate Fine-tuning and Data Augmentation. NAACL-HLT 2021: 704-717 - [c19]Arun Babu, Akshat Shrivastava, Armen Aghajanyan, Ahmed Aly, Angela Fan, Marjan Ghazvininejad:
Non-Autoregressive Semantic Parsing for Compositional Task-Oriented Dialog. NAACL-HLT 2021: 2969-2978 - [i21]Arun Babu, Akshat Shrivastava, Armen Aghajanyan, Ahmed Aly, Angela Fan, Marjan Ghazvininejad:
Non-Autoregressive Semantic Parsing for Compositional Task-Oriented Dialog. CoRR abs/2104.04923 (2021) - [i20]Haoran Li, Arash Einolghozati, Srinivasan Iyer, Bhargavi Paranjape, Yashar Mehdad, Sonal Gupta, Marjan Ghazvininejad:
EASE: Extractive-Abstractive Summarization with Explanations. CoRR abs/2105.06982 (2021) - [i19]Bhargavi Paranjape, Julian Michael, Marjan Ghazvininejad, Luke Zettlemoyer, Hannaneh Hajishirzi:
Prompting Contrastive Explanations for Commonsense Reasoning Tasks. CoRR abs/2106.06823 (2021) - [i18]Chunting Zhou, Daniel Levy, Xian Li, Marjan Ghazvininejad, Graham Neubig:
Distributionally Robust Multilingual Machine Translation. CoRR abs/2109.04020 (2021) - [i17]Eleftheria Briakou, Sida I. Wang, Luke Zettlemoyer, Marjan Ghazvininejad:
BitextEdit: Automatic Bitext Editing for Improved Low-Resource Machine Translation. CoRR abs/2111.06787 (2021) - [i16]Marjan Ghazvininejad, Vladimir Karpukhin, Asli Celikyilmaz:
Discourse-Aware Prompt Design for Text Generation. CoRR abs/2112.05717 (2021) - 2020
- [j2]Yinhan Liu, Jiatao Gu, Naman Goyal, Xian Li, Sergey Edunov, Marjan Ghazvininejad, Mike Lewis, Luke Zettlemoyer:
Multilingual Denoising Pre-training for Neural Machine Translation. Trans. Assoc. Comput. Linguistics 8: 726-742 (2020) - [c18]Nabil Hossain, Marjan Ghazvininejad, Luke Zettlemoyer:
Simple and Effective Retrieve-Edit-Rerank Text Generation. ACL 2020: 2532-2538 - [c17]Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Veselin Stoyanov, Luke Zettlemoyer:
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension. ACL 2020: 7871-7880 - [c16]Marjan Ghazvininejad, Vladimir Karpukhin, Luke Zettlemoyer, Omer Levy:
Aligned Cross Entropy for Non-Autoregressive Machine Translation. ICML 2020: 3515-3523 - [c15]Jungo Kasai, James Cross, Marjan Ghazvininejad, Jiatao Gu:
Non-autoregressive Machine Translation with Disentangled Context Transformer. ICML 2020: 5144-5155 - [c14]Mike Lewis, Marjan Ghazvininejad, Gargi Ghosh, Armen Aghajanyan, Sida Wang, Luke Zettlemoyer:
Pre-training via Paraphrasing. NeurIPS 2020 - [i15]Jungo Kasai, James Cross, Marjan Ghazvininejad, Jiatao Gu:
Parallel Machine Translation with Disentangled Context Transformer. CoRR abs/2001.05136 (2020) - [i14]Yinhan Liu, Jiatao Gu, Naman Goyal, Xian Li, Sergey Edunov, Marjan Ghazvininejad, Mike Lewis, Luke Zettlemoyer:
Multilingual Denoising Pre-training for Neural Machine Translation. CoRR abs/2001.08210 (2020) - [i13]Marjan Ghazvininejad, Omer Levy, Luke Zettlemoyer:
Semi-Autoregressive Training Improves Mask-Predict Decoding. CoRR abs/2001.08785 (2020) - [i12]Marjan Ghazvininejad, Vladimir Karpukhin, Luke Zettlemoyer, Omer Levy:
Aligned Cross Entropy for Non-Autoregressive Machine Translation. CoRR abs/2004.01655 (2020) - [i11]Asa Cooper Stickland, Xian Li, Marjan Ghazvininejad:
Recipes for Adapting Pre-trained Monolingual and Multilingual Models to Machine Translation. CoRR abs/2004.14911 (2020) - [i10]Mike Lewis, Marjan Ghazvininejad, Gargi Ghosh, Armen Aghajanyan, Sida I. Wang, Luke Zettlemoyer:
Pre-training via Paraphrasing. CoRR abs/2006.15020 (2020) - [i9]Sachin Mehta, Marjan Ghazvininejad, Srinivasan Iyer, Luke Zettlemoyer, Hannaneh Hajishirzi:
DeLighT: Very Deep and Light-weight Transformer. CoRR abs/2008.00623 (2020) - [i8]Alexander R. Fabbri, Simeng Han, Haoyuan Li, Haoran Li, Marjan Ghazvininejad, Shafiq R. Joty, Dragomir R. Radev, Yashar Mehdad:
Improving Zero and Few-Shot Abstractive Summarization with Intermediate Fine-tuning and Data Augmentation. CoRR abs/2010.12836 (2020) - [i7]Chunting Zhou, Jiatao Gu, Mona T. Diab, Paco Guzman, Luke Zettlemoyer, Marjan Ghazvininejad:
Detecting Hallucinated Content in Conditional Neural Sequence Generation. CoRR abs/2011.02593 (2020)
2010 – 2019
- 2019
- [c13]Nima Pourdamghani, Nada Aldarrab, Marjan Ghazvininejad, Kevin Knight, Jonathan May
:
Translating Translationese: A Two-Step Approach to Unsupervised Machine Translation. ACL (1) 2019: 3057-3062 - [c12]Vladimir Karpukhin, Omer Levy, Jacob Eisenstein, Marjan Ghazvininejad:
Training on Synthetic Noise Improves Robustness to Natural Noise in Machine Translation. W-NUT@EMNLP 2019: 42-47 - [c11]Marjan Ghazvininejad, Omer Levy, Yinhan Liu, Luke Zettlemoyer:
Mask-Predict: Parallel Decoding of Conditional Masked Language Models. EMNLP/IJCNLP (1) 2019: 6111-6120 - [i6]Vladimir Karpukhin, Omer Levy, Jacob Eisenstein, Marjan Ghazvininejad:
Training on Synthetic Noise Improves Robustness to Natural Noise in Machine Translation. CoRR abs/1902.01509 (2019) - [i5]Marjan Ghazvininejad, Omer Levy, Yinhan Liu, Luke Zettlemoyer:
Constant-Time Machine Translation with Conditional Masked Language Models. CoRR abs/1904.09324 (2019) - [i4]Nima Pourdamghani, Nada Aldarrab, Marjan Ghazvininejad, Kevin Knight, Jonathan May:
Translating Translationese: A Two-Step Approach to Unsupervised Machine Translation. CoRR abs/1906.05683 (2019) - [i3]Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Veselin Stoyanov, Luke Zettlemoyer:
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension. CoRR abs/1910.13461 (2019) - 2018
- [c10]Marjan Ghazvininejad, Chris Brockett, Ming-Wei Chang, Bill Dolan, Jianfeng Gao, Wen-tau Yih, Michel Galley:
A Knowledge-Grounded Neural Conversation Model. AAAI 2018: 5110-5117 - [c9]Marjan Ghazvininejad, Yejin Choi, Kevin Knight:
Neural Poetry Translation. NAACL-HLT (2) 2018: 67-71 - [c8]Nima Pourdamghani, Marjan Ghazvininejad, Kevin Knight:
Using Word Vectors to Improve Word Alignments for Low Resource Machine Translation. NAACL-HLT (2) 2018: 524-528 - 2017
- [j1]Marjan Ghazvininejad, Kevin Knight:
Humans Outperform Machines at the Bilingual Shannon Game. Entropy 19(1): 15 (2017) - [c7]Marjan Ghazvininejad, Xing Shi, Jay Priyadarshi, Kevin Knight:
Hafez: an Interactive Poetry Generation System. ACL (System Demonstrations) 2017: 43-48 - [i2]Marjan Ghazvininejad, Chris Brockett, Ming-Wei Chang, Bill Dolan, Jianfeng Gao, Wen-tau Yih, Michel Galley:
A Knowledge-Grounded Neural Conversation Model. CoRR abs/1702.01932 (2017) - 2016
- [c6]Marjan Ghazvininejad, Xing Shi, Yejin Choi, Kevin Knight:
Generating Topical Poetry. EMNLP 2016: 1183-1191 - 2015
- [c5]Barret Zoph, Marjan Ghazvininejad, Kevin Knight:
How Much Information Does a Human Translator Add to the Original? EMNLP 2015: 889-898 - [c4]Marjan Ghazvininejad, Kevin Knight:
How to Memorize a Random 60-Bit String. HLT-NAACL 2015: 1569-1575 - [c3]David C. Kale, Marjan Ghazvininejad, Anil Ramakrishna, Jingrui He, Yan Liu:
Hierarchical Active Transfer Learning. SDM 2015: 514-522 - [i1]Bharath Sankaran, Marjan Ghazvininejad, Xinran He, David C. Kale, Liron Cohen:
Learning and Optimization with Submodular Functions. CoRR abs/1505.01576 (2015) - 2013
- [c2]Amirreza Shaban, Hamid R. Rabiee
, Mehrdad Farajtabar, Marjan Ghazvininejad:
From Local Similarity to Global Coding: An Application to Image Classification. CVPR 2013: 2794-2801 - 2011
- [c1]Marjan Ghazvininejad, Mostafa Mahdieh, Hamid R. Rabiee
, Parisa Khanipour Roshan, Mohammad Hossein Rohban:
Isograph: Neighbourhood Graph Construction Based on Geodesic Distance for Semi-supervised Learning. ICDM 2011: 191-200
Coauthor Index
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last updated on 2024-08-30 21:38 CEST by the dblp team
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