Isograph: Neighbourhood Graph Construction Based on Geodesic Distance for Semi-supervised Learning. - Marjan Ghazvininejad; Mostafa Mahdieh; Hamid R. Rabiee; Parisa Khanipour Roshan; Mohammad Hossein Rohban (ICDM, 2011)

From Local Similarity to Global Coding: An Application to Image Classification. - Amirreza Shaban; Hamid R. Rabiee; Mehrdad Farajtabar; Marjan Ghazvininejad (CVPR, 2013)

How Much Information Does a Human Translator Add to the Original? - Barret Zoph; Marjan Ghazvininejad; Kevin Knight (EMNLP, 2015)

How to Memorize a Random 60-Bit String. - Marjan Ghazvininejad; Kevin Knight (HLT-NAACL, 2015)

Hierarchical Active Transfer Learning. - David C. Kale; Marjan Ghazvininejad; Anil Ramakrishna; Jingrui He; Yan Liu 002 (SDM, 2015)

Learning and Optimization with Submodular Functions. - Bharath Sankaran; Marjan Ghazvininejad; Xinran He; David C. Kale; Liron Cohen 002 (CoRR, 2015)

Generating Topical Poetry. - Marjan Ghazvininejad; Xing Shi; Yejin Choi 001; Kevin Knight (EMNLP, 2016)

Hafez: an Interactive Poetry Generation System. - Marjan Ghazvininejad; Xing Shi; Jay Priyadarshi; Kevin Knight (ACL (System Demonstrations), 2017)

Humans Outperform Machines at the Bilingual Shannon Game. - Marjan Ghazvininejad; Kevin Knight (Entropy, 2017)

A Knowledge-Grounded Neural Conversation Model. - Marjan Ghazvininejad; Chris Brockett; Ming-Wei Chang; Bill Dolan; Jianfeng Gao 001; Wen-tau Yih; Michel Galley (AAAI, 2018)

Neural Poetry Translation. - Marjan Ghazvininejad; Yejin Choi 001; Kevin Knight (NAACL-HLT (2), 2018)

Using Word Vectors to Improve Word Alignments for Low Resource Machine Translation. - Nima Pourdamghani; Marjan Ghazvininejad; Kevin Knight (NAACL-HLT (2), 2018)

Translating Translationese: A Two-Step Approach to Unsupervised Machine Translation. - Nima Pourdamghani; Nada Aldarrab; Marjan Ghazvininejad; Kevin Knight; Jonathan May (ACL (1), 2019)

Training on Synthetic Noise Improves Robustness to Natural Noise in Machine Translation. - Vladimir Karpukhin; Omer Levy; Jacob Eisenstein; Marjan Ghazvininejad (W-NUT@EMNLP, 2019)

Mask-Predict: Parallel Decoding of Conditional Masked Language Models. - Marjan Ghazvininejad; Omer Levy; Yinhan Liu; Luke Zettlemoyer (EMNLP/IJCNLP (1), 2019)

Constant-Time Machine Translation with Conditional Masked Language Models. - Marjan Ghazvininejad; Omer Levy; Yinhan Liu; Luke Zettlemoyer (CoRR, 2019)

Simple and Effective Retrieve-Edit-Rerank Text Generation. - Nabil Hossain; Marjan Ghazvininejad; Luke Zettlemoyer (ACL, 2020)

BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension. - Mike Lewis; Yinhan Liu; Naman Goyal 001; Marjan Ghazvininejad; Abdelrahman Mohamed; Omer Levy; Veselin Stoyanov; Luke Zettlemoyer (ACL, 2020)

Aligned Cross Entropy for Non-Autoregressive Machine Translation. - Marjan Ghazvininejad; Vladimir Karpukhin; Luke Zettlemoyer; Omer Levy (ICML, 2020)

Non-autoregressive Machine Translation with Disentangled Context Transformer. - Jungo Kasai; James Cross 003; Marjan Ghazvininejad; Jiatao Gu (ICML, 2020)

Pre-training via Paraphrasing. - Mike Lewis; Marjan Ghazvininejad; Gargi Ghosh; Armen Aghajanyan; Sida Wang 001; Luke Zettlemoyer (NeurIPS, 2020)

Parallel Machine Translation with Disentangled Context Transformer. - Jungo Kasai; James Cross 003; Marjan Ghazvininejad; Jiatao Gu (CoRR, 2020)

Semi-Autoregressive Training Improves Mask-Predict Decoding. - Marjan Ghazvininejad; Omer Levy; Luke Zettlemoyer (CoRR, 2020)

DeLighT: Very Deep and Light-weight Transformer. - Sachin Mehta; Marjan Ghazvininejad; Srinivasan Iyer 001; Luke Zettlemoyer; Hannaneh Hajishirzi (CoRR, 2020)

Detecting Hallucinated Content in Conditional Neural Sequence Generation. - Chunting Zhou; Graham Neubig; Jiatao Gu; Mona T. Diab; Paco Guzman; Luke Zettlemoyer; Marjan Ghazvininejad (CoRR, 2020)

Multilingual Denoising Pre-training for Neural Machine Translation. - Yinhan Liu; Jiatao Gu; Naman Goyal 001; Xian Li 003; Sergey Edunov; Marjan Ghazvininejad; Mike Lewis; Luke Zettlemoyer (Trans. Assoc. Comput. Linguistics, 2020)

Prompting Contrastive Explanations for Commonsense Reasoning Tasks. - Bhargavi Paranjape; Julian Michael; Marjan Ghazvininejad; Hannaneh Hajishirzi; Luke Zettlemoyer (ACL/IJCNLP (Findings), 2021)

Detecting Hallucinated Content in Conditional Neural Sequence Generation. - Chunting Zhou; Graham Neubig; Jiatao Gu; Mona T. Diab; Francisco Guzmán; Luke Zettlemoyer; Marjan Ghazvininejad (ACL/IJCNLP (Findings), 2021)

Recipes for Adapting Pre-trained Monolingual and Multilingual Models to Machine Translation. - Asa Cooper Stickland; Xian Li 003; Marjan Ghazvininejad (EACL, 2021)

Distributionally Robust Multilingual Machine Translation. - Chunting Zhou; Daniel Levy; Xian Li 003; Marjan Ghazvininejad; Graham Neubig (EMNLP (1), 2021)

DeLighT: Deep and Light-weight Transformer. - Sachin Mehta; Marjan Ghazvininejad; Srinivasan Iyer 001; Luke Zettlemoyer; Hannaneh Hajishirzi (ICLR, 2021)

Non-Autoregressive Semantic Parsing for Compositional Task-Oriented Dialog. - Arun Babu; Akshat Shrivastava; Armen Aghajanyan; Ahmed Aly; Angela Fan; Marjan Ghazvininejad (NAACL-HLT, 2021)

Improving Zero and Few-Shot Abstractive Summarization with Intermediate Fine-tuning and Data Augmentation. - Alexander R. Fabbri; Simeng Han; Haoyuan Li; Haoran Li 007; Marjan Ghazvininejad; Shafiq R. Joty; Dragomir R. Radev; Yashar Mehdad (NAACL-HLT, 2021)

EASE: Extractive-Abstractive Summarization with Explanations. - Haoran Li 007; Arash Einolghozati; Srinivasan Iyer 001; Bhargavi Paranjape; Yashar Mehdad; Sonal Gupta; Marjan Ghazvininejad (CoRR, 2021)

Discourse-Aware Prompt Design for Text Generation. - Marjan Ghazvininejad; Vladimir Karpukhin; Asli Celikyilmaz (CoRR, 2021)

Discourse-Aware Soft Prompting for Text Generation. - Marjan Ghazvininejad; Vladimir Karpukhin; Vera Gor; Asli Celikyilmaz (EMNLP, 2022)

Natural Language to Code Translation with Execution. - Freda Shi; Daniel Fried; Marjan Ghazvininejad; Luke Zettlemoyer; Sida I. Wang (EMNLP, 2022)

BitextEdit: Automatic Bitext Editing for Improved Low-Resource Machine Translation. - Eleftheria Briakou; Sida I. Wang; Luke Zettlemoyer; Marjan Ghazvininejad (NAACL-HLT (Findings), 2022)

A Review on Language Models as Knowledge Bases. - Badr AlKhamissi; Millicent Li; Asli Celikyilmaz; Mona T. Diab; Marjan Ghazvininejad (CoRR, 2022)

In-context Examples Selection for Machine Translation. - Sweta Agrawal; Chunting Zhou; Mike Lewis; Luke Zettlemoyer; Marjan Ghazvininejad (ACL (Findings), 2023)

XLM-V: Overcoming the Vocabulary Bottleneck in Multilingual Masked Language Models. - Davis Liang; Hila Gonen; Yuning Mao; Rui Hou; Naman Goyal 001; Marjan Ghazvininejad; Luke Zettlemoyer; Madian Khabsa (EMNLP, 2023)

Dictionary-based Phrase-level Prompting of Large Language Models for Machine Translation. - Marjan Ghazvininejad; Hila Gonen; Luke Zettlemoyer (CoRR, 2023)

SSD-2: Scaling and Inference-time Fusion of Diffusion Language Models. - Xiaochuang Han; Sachin Kumar 009; Yulia Tsvetkov; Marjan Ghazvininejad (CoRR, 2023)

Representation Deficiency in Masked Language Modeling. - Yu Meng 001; Jitin Krishnan; Sinong Wang; Qifan Wang 001; Yuning Mao; Han Fang; Marjan Ghazvininejad; Jiawei Han 001; Luke Zettlemoyer (ICLR, 2024)

David helps Goliath: Inference-Time Collaboration Between Small Specialized and Large General Diffusion LMs. - Xiaochuang Han; Sachin Kumar 009; Yulia Tsvetkov; Marjan Ghazvininejad (NAACL-HLT, 2024)

JPEG-LM: LLMs as Image Generators with Canonical Codec Representations. - Xiaochuang Han; Marjan Ghazvininejad; Pang Wei Koh; Yulia Tsvetkov (CoRR, 2024)

ALMA: Alignment with Minimal Annotation. - Michihiro Yasunaga; Leonid Shamis; Chunting Zhou; Andrew Cohen; Jason Weston; Luke Zettlemoyer; Marjan Ghazvininejad (CoRR, 2024)

Learning to Plan & Reason for Evaluation with Thinking-LLM-as-a-Judge. - Swarnadeep Saha; Xian Li 003; Marjan Ghazvininejad; Jason Weston; Tianlu Wang (CoRR, 2025)

Multimodal RewardBench: Holistic Evaluation of Reward Models for Vision Language Models. - Michihiro Yasunaga; Luke Zettlemoyer; Marjan Ghazvininejad (CoRR, 2025)

reWordBench: Benchmarking and Improving the Robustness of Reward Models with Transformed Inputs. - Zhaofeng Wu; Michihiro Yasunaga; Andrew Cohen; Yoon Kim; Asli Celikyilmaz; Marjan Ghazvininejad (CoRR, 2025)