Marjan Ghazvininejad | DeepAI

DeepAI AI Chat

Featured Co-authors

Graham Neubig
243 publications
Jianfeng Gao
241 publications
Luke Zettlemoyer
160 publications
Jiawei Han
140 publications
Shafiq Joty
118 publications
Hannaneh Hajishirzi
102 publications
Dragomir Radev
71 publications
Mike Lewis
64 publications
Omer Levy
63 publications
Wen-tau Yih
61 publications
Jiatao Gu
61 publications

∙ 02/15/2023

Dictionary-based Phrase-level Prompting of Large Language Models for Machine Translation

Large language models (LLMs) demonstrate remarkable machine translation ...

0 Marjan Ghazvininejad, et al. ∙

∙ 02/04/2023

Representation Deficiency in Masked Language Modeling

Masked Language Modeling (MLM) has been one of the most prominent approa...

0 Yu Meng, et al. ∙

∙ 01/25/2023

XLM-V: Overcoming the Vocabulary Bottleneck in Multilingual Masked Language Models

Large multilingual language models typically rely on a single vocabulary...

3 Davis Liang, et al. ∙

∙ 12/05/2022

In-context Examples Selection for Machine Translation

Large-scale generative models show an impressive ability to perform a wi...

0 Sweta Agrawal, et al. ∙

∙ 04/25/2022

Natural Language to Code Translation with Execution

Generative models of code, pretrained on large corpora of programs, have...

2 Freda Shi, et al. ∙

∙ 04/12/2022

A Review on Language Models as Knowledge Bases

Recently, there has been a surge of interest in the NLP community on the...

7 Badr AlKhamissi, et al. ∙

∙ 12/10/2021

Discourse-Aware Prompt Design for Text Generation

Current efficient fine-tuning methods (e.g., adapters, prefix-tuning, et...

3 Marjan Ghazvininejad, et al. ∙

∙ 11/12/2021

BitextEdit: Automatic Bitext Editing for Improved Low-Resource Machine Translation

Mined bitexts can contain imperfect translations that yield unreliable t...

10 Eleftheria Briakou, et al. ∙

∙ 09/09/2021

Distributionally Robust Multilingual Machine Translation

Multilingual neural machine translation (MNMT) learns to translate multi...

9 Chunting Zhou, et al. ∙

∙ 06/12/2021

Prompting Contrastive Explanations for Commonsense Reasoning Tasks

Many commonsense reasoning NLP tasks involve choosing between one or mor...

4 Bhargavi Paranjape, et al. ∙

∙ 05/14/2021

EASE: Extractive-Abstractive Summarization with Explanations

Current abstractive summarization systems outperform their extractive co...

4 Haoran Li, et al. ∙

∙ 04/11/2021

Non-Autoregressive Semantic Parsing for Compositional Task-Oriented Dialog

Semantic parsing using sequence-to-sequence models allows parsing of dee...

3 Arun Babu, et al. ∙

∙ 11/05/2020

Detecting Hallucinated Content in Conditional Neural Sequence Generation

Neural sequence models can generate highly fluent sentences but recent s...

2 Chunting Zhou, et al. ∙

∙ 10/24/2020

Improving Zero and Few-Shot Abstractive Summarization with Intermediate Fine-tuning and Data Augmentation

Models pretrained with self-supervised objectives on large text corpora ...

11 Alexander R. Fabbri, et al. ∙

∙ 08/03/2020

DeLighT: Very Deep and Light-weight Transformer

We introduce a very deep and light-weight transformer, DeLighT, that del...

0 Sachin Mehta, et al. ∙

∙ 06/26/2020

Pre-training via Paraphrasing

We introduce MARGE, a pre-trained sequence-to-sequence model learned wit...

7 Mike Lewis, et al. ∙

∙ 04/30/2020

Recipes for Adapting Pre-trained Monolingual and Multilingual Models to Machine Translation

There has been recent success in pre-training on monolingual data and fi...

0 Asa Cooper Stickland, et al. ∙

∙ 04/03/2020

Aligned Cross Entropy for Non-Autoregressive Machine Translation

Non-autoregressive machine translation models significantly speed up dec...

9 Marjan Ghazvininejad, et al. ∙

∙ 01/23/2020

Semi-Autoregressive Training Improves Mask-Predict Decoding

The recently proposed mask-predict decoding algorithm has narrowed the p...

3 Marjan Ghazvininejad, et al. ∙

∙ 01/22/2020

Multilingual Denoising Pre-training for Neural Machine Translation

This paper demonstrates that multilingual denoising pre-training produce...

0 Yinhan Liu, et al. ∙

∙ 01/15/2020

Parallel Machine Translation with Disentangled Context Transformer

State-of-the-art neural machine translation models generate a translatio...

0 Jungo Kasai, et al. ∙

∙ 10/29/2019

BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension

We present BART, a denoising autoencoder for pretraining sequence-to-seq...

35 Mike Lewis, et al. ∙

∙ 06/11/2019

Translating Translationese: A Two-Step Approach to Unsupervised Machine Translation

Given a rough, word-by-word gloss of a source language sentence, target ...

0 Nima Pourdamghani, et al. ∙

∙ 04/19/2019

Constant-Time Machine Translation with Conditional Masked Language Models

Most machine translation systems generate text autoregressively, by sequ...

6 Marjan Ghazvininejad, et al. ∙

∙ 02/05/2019

Training on Synthetic Noise Improves Robustness to Natural Noise in Machine Translation

We consider the problem of making machine translation more robust to cha...

0 Vladimir Karpukhin, et al. ∙

∙ 02/07/2017

A Knowledge-Grounded Neural Conversation Model

Neural network models are capable of generating extremely natural soundi...

0 Marjan Ghazvininejad, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world