Automatic WordNet Construction Using Markov Chain Monte Carlo. - Marzieh Fadaee; Hamidreza Ghader; Heshaam Faili; Azadeh Shakery (Polibits, 2013)

Learning Topic-Sensitive Word Representations. - Marzieh Fadaee; Arianna Bisazza; Christof Monz (ACL (2), 2017)

Data Augmentation for Low-Resource Neural Machine Translation. - Marzieh Fadaee; Arianna Bisazza; Christof Monz (ACL (2), 2017)

Back-Translation Sampling by Targeting Difficult Words in Neural Machine Translation. - Marzieh Fadaee; Christof Monz (EMNLP, 2018)

Examining the Tip of the Iceberg: A Data Set for Idiom Translation. - Marzieh Fadaee; Arianna Bisazza; Christof Monz (LREC, 2018)

The Unreasonable Volatility of Neural Machine Translation Models. - Marzieh Fadaee; Christof Monz (NGT@ACL, 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 (SDP@EMNLP, 2020)

Understanding and Enhancing the Use of Context for Machine Translation. - Marzieh Fadaee (CoRR, 2021)

InPars: Unsupervised Dataset Generation for Information Retrieval. - Luiz Henrique Bonifacio; Hugo Queiroz Abonizio; Marzieh Fadaee; Rodrigo Nogueira 001 (SIGIR, 2022)

InPars: Data Augmentation for Information Retrieval using Large Language Models. - Luiz Henrique Bonifacio; Hugo Queiroz Abonizio; Marzieh Fadaee; Rodrigo Nogueira 001 (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 001 (CoRR, 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 001 (CoRR, 2022)

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 001 (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)

Which Prompts Make The Difference? Data Prioritization For Efficient Human LLM Evaluation. - Meriem Boubdir; Edward Kim; Beyza Ermis; Marzieh Fadaee; Sara Hooker (CoRR, 2023)

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 (ACL (1), 2024)

Aya Dataset: An Open-Access Collection for Multilingual Instruction Tuning. - Shivalika Singh; Freddie Vargus; Daniel D'souza; Börje Karlsson 001; Abinaya Mahendiran; Wei-Yin Ko; Herumb Shandilya; Jay Patel; Deividas Mataciunas; Laura O'Mahony; Mike Zhang; Ramith Hettiarachchi; et al. (ACL (1), 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; et al. (ACL (1), 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 (EMNLP, 2024)

LLM See, LLM Do: Leveraging Active Inheritance to Target Non-Differentiable Objectives. - Luísa Shimabucoro; Sebastian Ruder; Julia Kreutzer; Marzieh Fadaee; Sara Hooker (EMNLP, 2024)

Elo Uncovered: Robustness and Best Practices in Language Model Evaluation. - Meriem Boubdir; Edward Kim; Beyza Ermis; Sara Hooker; Marzieh Fadaee (NeurIPS, 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; et al. (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; et al. (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)

Diversify and Conquer: Diversity-Centric Data Selection with Iterative Refinement. - Simon Yu; Liangyu Chen 005; Sara Ahmadian; 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)

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; et al. (CoRR, 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; et al. (CoRR, 2024)

M-RewardBench: Evaluating Reward Models in Multilingual Settings. - Srishti Gureja; Lester James Validad Miranda; Shayekh Bin Islam; Rishabh Maheshwary; Drishti Sharma; Gusti Triandi Winata; Nathan Lambert 001; Sebastian Ruder; Sara Hooker; Marzieh Fadaee (ACL (1), 2025)

From Tools to Teammates: Evaluating LLMs in Multi-Session Coding Interactions. - Nathanaël Carraz Rakotonirina; Mohammed Hamdy; Jon Ander Campos; Lucas Weber; Alberto Testoni; Marzieh Fadaee; Sandro Pezzelle; Marco Del Tredici (ACL (1), 2025)

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; et al. (ACL (1), 2025)

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 (ICLR, 2025)

INCLUDE: Evaluating Multilingual Language Understanding with Regional Knowledge. - Angelika Romanou; Negar Foroutan; Anna Sotnikova; Zeming Chen 001; Sree Harsha Nelaturu; Shivalika Singh; Rishabh Maheshwary; Micol Altomare; Mohamed A. Haggag; Imanol Schlag; Marzieh Fadaee; Sara Hooker; et al. (ICLR, 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; et al. (CoRR, 2025)

Command A: An Enterprise-Ready Large Language Model. - Aakanksha; Arash Ahmadian; Marwan Ahmed; Jay Alammar; Milad Alizadeh; Yazeed Alnumay; Sophia Althammer; Arkady Arkhangorodsky; Viraat Aryabumi; Dennis Aumiller; Raphaël Avalos; Zahara Aviv; et al. (CoRR, 2025)

Kaleidoscope: In-language Exams for Massively Multilingual Vision Evaluation. - Israfel Salazar; Manuel Fernández Burda; Shayekh Bin Islam; Arshia Soltani Moakhar; Shivalika Singh; Fabian Farestam; Angelika Romanou; Danylo Boiko; Dipika Khullar; Mike Zhang; Dominik Krzeminski; Jekaterina Novikova; et al. (CoRR, 2025)

Déjà Vu: Multilingual LLM Evaluation through the Lens of Machine Translation Evaluation. - Julia Kreutzer; Eleftheria Briakou; Sweta Agrawal; Marzieh Fadaee; Kocmi Tom (CoRR, 2025)

A Post-trainer's Guide to Multilingual Training Data: Uncovering Cross-lingual Transfer Dynamics. - Luísa Shimabucoro; Ahmet Üstün; Marzieh Fadaee; Sebastian Ruder (CoRR, 2025)

The Leaderboard Illusion. - Shivalika Singh; Yiyang Nan; Alex Wang; Daniel D'souza; Sayash Kapoor; Ahmet Üstün; Sanmi Koyejo; Yuntian Deng; Shayne Longpre; Noah Smith; Beyza Ermis; Marzieh Fadaee; et al. (CoRR, 2025)

Aya Vision: Advancing the Frontier of Multilingual Multimodality. - Saurabh Dash; Yiyang Nan; John Dang; Arash Ahmadian; Shivalika Singh; Madeline Smith; Bharat Venkitesh; Vlad Shmyhlo; Viraat Aryabumi; Walter Beller-Morales; Jeremy Pekmez; Jason Ozuzu; et al. (CoRR, 2025)

Reality Check: A New Evaluation Ecosystem Is Necessary to Understand AI's Real World Effects. - Reva Schwartz; Rumman Chowdhury; Akash Kundu; Heather Frase; Marzieh Fadaee; Tom David; Gabriella Waters; Afaf Taik; Morgan Briggs; Patrick Hall; Shomik Jain; Kyra Yee; et al. (CoRR, 2025)

The Multilingual Divide and Its Impact on Global AI Safety. - Aidan Peppin; Julia Kreutzer; Alice Schoenauer Sebag; Kelly Marchisio; Beyza Ermis; John Dang; Samuel Cahyawijaya; Shivalika Singh; Seraphina Goldfarb-Tarrant; Viraat Aryabumi; Aakanksha; Wei-Yin Ko; et al. (CoRR, 2025)

The State of Multilingual LLM Safety Research: From Measuring the Language Gap to Mitigating It. - Zheng-Xin Yong; Beyza Ermis; Marzieh Fadaee; Stephen H. Bach; Julia Kreutzer (CoRR, 2025)

One Tokenizer To Rule Them All: Emergent Language Plasticity via Multilingual Tokenizers. - Diana Abagyan; Alejandro Salamanca; Felipe Cruz-Salinas; Kris Cao; Hangyu Lin; Acyr Locatelli; Marzieh Fadaee; Ahmet Üstün; Sara Hooker (CoRR, 2025)

NeoBabel: A Multilingual Open Tower for Visual Generation. - Mohammad Mahdi Derakhshani; Dheeraj Varghese; Marzieh Fadaee; Cees G. M. Snoek (CoRR, 2025)