Marzieh Fadaee

According to our database, Marzieh Fadaee authored at least 19 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Back to Basics: Revisiting REINFORCE Style Optimization for Learning from Human Feedback in LLMs.

Arash Ahmadian, Chris Cremer, Matthias Gallé, Marzieh Fadaee, Julia Kreutzer, Olivier Pietquin, Ahmet Üstün, Sara Hooker

CoRR, 2024

Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model.

Ahmet Üstün, Viraat Aryabumi, Zheng Xin Yong, Wei-Yin Ko, Daniel D'souza, Gbemileke Onilude, Neel Bhandari, Shivalika Singh, Hui-Lee Ooi, Amr Kayid, Freddie Vargus, Phil Blunsom, Shayne Longpre, Niklas Muennighoff, Marzieh Fadaee, Julia Kreutzer, Sara Hooker

CoRR, 2024

Aya Dataset: An Open-Access Collection for Multilingual Instruction Tuning.

Shivalika Singh, Freddie Vargus, Daniel D'souza, Börje F. Karlsson, Abinaya Mahendiran, Wei-Yin Ko, Herumb Shandilya, Jay Patel, Deividas Mataciunas, Laura O'Mahony, Mike Zhang, Ramith Hettiarachchi, Joseph Wilson, Marina Machado, Luisa Souza Moura, Dominik Krzeminski, Hakimeh Fadaei, Irem Ergün, Ifeoma Okoh, Aisha Alaagib, Oshan Mudannayake, Zaid Alyafeai, Minh Chien Vu, Sebastian Ruder, Surya Guthikonda, Emad A. Alghamdi, Sebastian Gehrmann, Niklas Muennighoff, Max Bartolo, Julia Kreutzer, Ahmet Üstün, Marzieh Fadaee, Sara Hooker

CoRR, 2024

2023

Elo Uncovered: Robustness and Best Practices in Language Model Evaluation.

Meriem Boubdir, Edward Kim, Beyza Ermis, Sara Hooker, Marzieh Fadaee

CoRR, 2023

Which Prompts Make The Difference? Data Prioritization For Efficient Human LLM Evaluation.

Meriem Boubdir, Edward Kim, Beyza Ermis, Marzieh Fadaee, Sara Hooker

CoRR, 2023

When Less is More: Investigating Data Pruning for Pretraining LLMs at Scale.

Max Marion, Ahmet Üstün, Luiza Pozzobon, Alex Wang, Marzieh Fadaee, Sara Hooker

CoRR, 2023

InPars-v2: Large Language Models as Efficient Dataset Generators for Information Retrieval.

Vitor Jeronymo, Luiz Henrique Bonifacio, Hugo Queiroz Abonizio, Marzieh Fadaee, Roberto de Alencar Lotufo, Jakub Zavrel, Rodrigo Frassetto Nogueira

CoRR, 2023

2022

In Defense of Cross-Encoders for Zero-Shot Retrieval.

Guilherme Rosa, Luiz Henrique Bonifacio, Vitor Jeronymo, Hugo Queiroz Abonizio, Marzieh Fadaee, Roberto de Alencar Lotufo, Rodrigo Frassetto Nogueira

CoRR, 2022

No Parameter Left Behind: How Distillation and Model Size Affect Zero-Shot Retrieval.

Guilherme Moraes Rosa, Luiz Henrique Bonifacio, Vitor Jeronymo, Hugo Queiroz Abonizio, Marzieh Fadaee, Roberto de Alencar Lotufo, Rodrigo Frassetto Nogueira

CoRR, 2022

InPars: Data Augmentation for Information Retrieval using Large Language Models.

Luiz Henrique Bonifacio, Hugo Queiroz Abonizio, Marzieh Fadaee, Rodrigo Frassetto Nogueira

CoRR, 2022

InPars: Unsupervised Dataset Generation for Information Retrieval.

Luiz Henrique Bonifacio, Hugo Queiroz Abonizio, Marzieh Fadaee, Rodrigo Frassetto Nogueira

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

2021

Understanding and Enhancing the Use of Context for Machine Translation.

Marzieh Fadaee

CoRR, 2021

2020

A New Neural Search and Insights Platform for Navigating and Organizing AI Research.

Marzieh Fadaee, Olga Gureenkova, Fernando Rejon Barrera, Carsten Schnober, Wouter Weerkamp, Jakub Zavrel

Proceedings of the First Workshop on Scholarly Document Processing, 2020

The Unreasonable Volatility of Neural Machine Translation Models.

Marzieh Fadaee, Christof Monz

Proceedings of the Fourth Workshop on Neural Generation and Translation, 2020

2018

Examining the Tip of the Iceberg: A Data Set for Idiom Translation.

Marzieh Fadaee, Arianna Bisazza, Christof Monz

Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

Back-Translation Sampling by Targeting Difficult Words in Neural Machine Translation.

Marzieh Fadaee, Christof Monz

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017

Data Augmentation for Low-Resource Neural Machine Translation.

Marzieh Fadaee, Arianna Bisazza, Christof Monz

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Learning Topic-Sensitive Word Representations.

Marzieh Fadaee, Arianna Bisazza, Christof Monz

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2013

Automatic WordNet Construction Using Markov Chain Monte Carlo.

Marzieh Fadaee, Hamidreza Ghader, Heshaam Faili, Azadeh Shakery

Polibits, 2013