Marzieh Fadaee

According to our database, Marzieh Fadaee authored at least 32 papers between 2013 and 2025.

Collaborative distances:

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

2025

Towards Best Practices for Open Datasets for LLM Training.

Stefan Baack, Stella Biderman, Kasia Odrozek, Aviya Skowron, Ayah Bdeir, Jillian Bommarito, Jennifer Ding, Maximilian Gahntz, Paul Keller, Pierre-Carl Langlais, Greg Lindahl, Sebastian Majstorovic, Nik Marda, Guilherme Penedo, Maarten Van Segbroeck, Jennifer Wang, Leandro von Werra, Mitchell Baker, Julie Belião, Kasia Chmielinski, Marzieh Fadaee, Lisa Gutermuth, Hynek Kydlícek, Greg Leppert, EM Lewis-Jong, Solana Larsen, Shayne Longpre, Angela Oduor Lungati, Cullen Miller, Victor Miller, Max Ryabinin, Kathleen Siminyu, Andrew Strait, Mark Surman, Anna Tumadóttir, Maurice Weber, Rebecca Weiss, Lee White, Thomas Wolf

CoRR, January, 2025

2024

Aya Expanse: Combining Research Breakthroughs for a New Multilingual Frontier.

John Dang, Shivalika Singh, Daniel D'souza, Arash Ahmadian, Alejandro Salamanca, Madeline Smith, Aidan Peppin, Sungjin Hong, Manoj Govindassamy, Terrence Zhao, Sandra Kublik, Meor Amer, Viraat Aryabumi, Jon Ander Campos, Yi Chern Tan, Tom Kocmi, Florian Strub, Nathan Grinsztajn, Yannis Flet-Berliac, Acyr Locatelli, Hangyu Lin, Dwarak Talupuru, Bharat Venkitesh, David Cairuz, Bowen Yang, Tim Chung, Wei-Yin Ko, Sylvie Shang Shi, Amir Shukayev, Sammie Bae, Aleksandra Piktus, Roman Castagné, Felipe Cruz-Salinas, Eddie Kim, Lucas Crawhall-Stein, Adrien Morisot, Sudip Roy, Phil Blunsom, Ivan Zhang, Aidan N. Gomez, Nick Frosst, Marzieh Fadaee, Beyza Ermis, Ahmet Üstün, Sara Hooker

CoRR, 2024

Global MMLU: Understanding and Addressing Cultural and Linguistic Biases in Multilingual Evaluation.

Shivalika Singh, Angelika Romanou, Clémentine Fourrier, David Ifeoluwa Adelani, Jian Gang Ngui, Daniel Vila-Suero, Peerat Limkonchotiwat, Kelly Marchisio, Wei Qi Leong, Yosephine Susanto, Raymond Ng, Shayne Longpre, Wei-Yin Ko, Madeline Smith, Antoine Bosselut, Alice Oh, André F. T. Martins, Leshem Choshen, Daphne Ippolito, Enzo Ferrante, Marzieh Fadaee, Beyza Ermis, Sara Hooker

CoRR, 2024

INCLUDE: Evaluating Multilingual Language Understanding with Regional Knowledge.

Angelika Romanou, Negar Foroutan, Anna Sotnikova, Zeming Chen, Sree Harsha Nelaturu, Shivalika Singh, Rishabh Maheshwary, Micol Altomare, Mohamed A. Haggag, Snegha A, Alfonso Amayuelas, Azril Hafizi Amirudin, Viraat Aryabumi, Danylo Boiko, Michael Chang, Jenny Chim, Gal Cohen, Aditya Kumar Dalmia, Abraham Diress, Sharad Duwal, Daniil Dzenhaliou, Daniel Fernando Erazo Florez, Fabian Farestam, Joseph Marvin Imperial, Shayekh Bin Islam, Perttu Isotalo, Maral Jabbarishiviari, Börje F. Karlsson, Eldar Khalilov, Christopher Klamm, Fajri Koto, Dominik Krzeminski, Gabriel Adriano de Melo, Syrielle Montariol, Yiyang Nan, Joel Niklaus, Jekaterina Novikova, Johan Samir Obando Ceron, Debjit Paul, Esther Ploeger, Jebish Purbey, Swati Rajwal, Selvan Sunitha Ravi, Sara Rydell, Roshan Santhosh, Drishti Sharma, Marjana Prifti Skenduli, Arshia Soltani Moakhar, Bardia Soltani Moakhar, Ran Tamir, Ayush Kumar Tarun, Azmine Toushik Wasi, Thenuka Ovin Weerasinghe, Serhan Yilmaz, Mike Zhang, Imanol Schlag, Marzieh Fadaee, Sara Hooker, Antoine Bosselut

CoRR, 2024

M-RewardBench: Evaluating Reward Models in Multilingual Settings.

Srishti Gureja, Lester James V. Miranda, Shayekh Bin Islam, Rishabh Maheshwary, Drishti Sharma, Gusti Winata, Nathan Lambert, Sebastian Ruder, Sara Hooker, Marzieh Fadaee

CoRR, 2024

Mix Data or Merge Models? Optimizing for Diverse Multi-Task Learning.

Aakanksha, Arash Ahmadian, Seraphina Goldfarb-Tarrant, Beyza Ermis, Marzieh Fadaee, Sara Hooker

CoRR, 2024

Diversify and Conquer: Diversity-Centric Data Selection with Iterative Refinement.

Simon Yu, Liangyu Chen, Sara Ahmadian, Marzieh Fadaee

CoRR, 2024

To Code, or Not To Code? Exploring Impact of Code in Pre-training.

Viraat Aryabumi, Yixuan Su, Raymond Ma, Adrien Morisot, Ivan Zhang, Acyr Locatelli, Marzieh Fadaee, Ahmet Üstün, Sara Hooker

CoRR, 2024

LLM See, LLM Do: Guiding Data Generation to Target Non-Differentiable Objectives.

Luísa Shimabucoro, Sebastian Ruder, Julia Kreutzer, Marzieh Fadaee, Sara Hooker

CoRR, 2024

Aya 23: Open Weight Releases to Further Multilingual Progress.

Viraat Aryabumi, John Dang, Dwarak Talupuru, Saurabh Dash, David Cairuz, Hangyu Lin, Bharat Venkitesh, Madeline Smith, Jon Ander Campos, Yi Chern Tan, Kelly Marchisio, Max Bartolo, Sebastian Ruder, Acyr Locatelli, Julia Kreutzer, Nick Frosst, Aidan N. Gomez, Phil Blunsom, Marzieh Fadaee, Ahmet Üstün, 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

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

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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

LLM See, LLM Do: Leveraging Active Inheritance to Target Non-Differentiable Objectives.

Luísa Shimabucoro, Sebastian Ruder, Julia Kreutzer, Marzieh Fadaee, Sara Hooker

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

The Multilingual Alignment Prism: Aligning Global and Local Preferences to Reduce Harm.

Aakanksha, Arash Ahmadian, Beyza Ermis, Seraphina Goldfarb-Tarrant, Julia Kreutzer, Marzieh Fadaee, Sara Hooker

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 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

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

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

Shivalika Singh, Freddie Vargus, Daniel D'souza, Börje 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 Vu Chien, Sebastian Ruder, Surya Guthikonda, Emad A. Alghamdi, Sebastian Gehrmann, Niklas Muennighoff, Max Bartolo, Julia Kreutzer, Ahmet Üstün, Marzieh Fadaee, Sara Hooker

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 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

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

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 A. Lotufo, Jakub Zavrel, Rodrigo 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 A. Lotufo, Rodrigo 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 A. Lotufo, Rodrigo Nogueira

CoRR, 2022

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

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

CoRR, 2022

InPars: Unsupervised Dataset Generation for Information Retrieval.

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