Marjan Ghazvininejad

According to our database1, Marjan Ghazvininejad authored at least 44 papers between 2011 and 2023.

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Bibliography

2023
SSD-2: Scaling and Inference-time Fusion of Diffusion Language Models.
CoRR, 2023

Dictionary-based Phrase-level Prompting of Large Language Models for Machine Translation.
CoRR, 2023

Representation Deficiency in Masked Language Modeling.
CoRR, 2023

XLM-V: Overcoming the Vocabulary Bottleneck in Multilingual Masked Language Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

In-context Examples Selection for Machine Translation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
A Review on Language Models as Knowledge Bases.
CoRR, 2022

BitextEdit: Automatic Bitext Editing for Improved Low-Resource Machine Translation.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Natural Language to Code Translation with Execution.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Discourse-Aware Soft Prompting for Text Generation.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021
Discourse-Aware Prompt Design for Text Generation.
CoRR, 2021

EASE: Extractive-Abstractive Summarization with Explanations.
CoRR, 2021

Improving Zero and Few-Shot Abstractive Summarization with Intermediate Fine-tuning and Data Augmentation.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Non-Autoregressive Semantic Parsing for Compositional Task-Oriented Dialog.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

DeLighT: Deep and Light-weight Transformer.
Proceedings of the 9th International Conference on Learning Representations, 2021

Distributionally Robust Multilingual Machine Translation.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Recipes for Adapting Pre-trained Monolingual and Multilingual Models to Machine Translation.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Detecting Hallucinated Content in Conditional Neural Sequence Generation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Prompting Contrastive Explanations for Commonsense Reasoning Tasks.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
Multilingual Denoising Pre-training for Neural Machine Translation.
Trans. Assoc. Comput. Linguistics, 2020

Detecting Hallucinated Content in Conditional Neural Sequence Generation.
CoRR, 2020

DeLighT: Very Deep and Light-weight Transformer.
CoRR, 2020

Semi-Autoregressive Training Improves Mask-Predict Decoding.
CoRR, 2020

Parallel Machine Translation with Disentangled Context Transformer.
CoRR, 2020

Pre-training via Paraphrasing.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Non-autoregressive Machine Translation with Disentangled Context Transformer.
Proceedings of the 37th International Conference on Machine Learning, 2020

Aligned Cross Entropy for Non-Autoregressive Machine Translation.
Proceedings of the 37th International Conference on Machine Learning, 2020

BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Simple and Effective Retrieve-Edit-Rerank Text Generation.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Constant-Time Machine Translation with Conditional Masked Language Models.
CoRR, 2019

Mask-Predict: Parallel Decoding of Conditional Masked Language Models.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Training on Synthetic Noise Improves Robustness to Natural Noise in Machine Translation.
Proceedings of the 5th Workshop on Noisy User-generated Text, 2019

Translating Translationese: A Two-Step Approach to Unsupervised Machine Translation.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Using Word Vectors to Improve Word Alignments for Low Resource Machine Translation.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Neural Poetry Translation.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

A Knowledge-Grounded Neural Conversation Model.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Humans Outperform Machines at the Bilingual Shannon Game.
Entropy, 2017

Hafez: an Interactive Poetry Generation System.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
Generating Topical Poetry.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

2015
Learning and Optimization with Submodular Functions.
CoRR, 2015

Hierarchical Active Transfer Learning.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

How to Memorize a Random 60-Bit String.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

How Much Information Does a Human Translator Add to the Original?
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

2013
From Local Similarity to Global Coding: An Application to Image Classification.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2011
Isograph: Neighbourhood Graph Construction Based on Geodesic Distance for Semi-supervised Learning.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011


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