Sweta Agrawal

According to our database, Sweta Agrawal authored at least 33 papers between 2017 and 2024.

Collaborative distances:

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

2024

Assessing the Role of Context in Chat Translation Evaluation: Is Context Helpful and Under What Conditions?

Sweta Agrawal, M. Amin Farajian, Patrick Fernandes, Ricardo Rei, André F. T. Martins

Trans. Assoc. Comput. Linguistics, 2024

Do Text Simplification Systems Preserve Meaning? A Human Evaluation via Reading Comprehension.

Sweta Agrawal, Marine Carpuat

Trans. Assoc. Comput. Linguistics, 2024

xTower: A Multilingual LLM for Explaining and Correcting Translation Errors.

Marcos V. Treviso, Nuno Miguel Guerreiro, Sweta Agrawal, Ricardo Rei, José Pombal, Tânia Vaz, Helena Wu, Beatriz Silva, Daan van Stigt, André F. T. Martins

CoRR, 2024

The Prompt Report: A Systematic Survey of Prompting Techniques.

Sander Schulhoff, Michael Ilie, Nishant Balepur, Konstantine Kahadze, Amanda Liu, Chenglei Si, Yinheng Li, Aayush Gupta, HyoJung Han, Sevien Schulhoff, Pranav Sandeep Dulepet, Saurav Vidyadhara, Dayeon Ki, Sweta Agrawal, Chau Pham, Gerson C. Kroiz, Feileen Li, Hudson Tao, Ashay Srivastava, Hevander Da Costa, Saloni Gupta, Megan L. Rogers, Inna Goncearenco, Giuseppe Sarli, Igor Galynker, Denis Peskoff, Marine Carpuat, Jules White, Shyamal Anadkat, Alexander Miserlis Hoyle, Philip Resnik

CoRR, 2024

QUEST: Quality-Aware Metropolis-Hastings Sampling for Machine Translation.

Gonçalo Rui Alves Faria, Sweta Agrawal, António Farinhas, Ricardo Rei, José G. C. de Souza, André F. T. Martins

CoRR, 2024

Is Context Helpful for Chat Translation Evaluation?

Sweta Agrawal, M. Amin Farajian, Patrick Fernandes, Ricardo Rei, André F. T. Martins

CoRR, 2024

Tower: An Open Multilingual Large Language Model for Translation-Related Tasks.

Duarte M. Alves, José Pombal, Nuno Miguel Guerreiro, Pedro Henrique Martins, João Alves, M. Amin Farajian, Ben Peters, Ricardo Rei, Patrick Fernandes, Sweta Agrawal, Pierre Colombo, José G. C. de Souza, André F. T. Martins

CoRR, 2024

AfriMTE and AfriCOMET: Enhancing COMET to Embrace Under-resourced African Languages.

Jiayi Wang, David Ifeoluwa Adelani, Sweta Agrawal, Marek Masiak, Ricardo Rei, Eleftheria Briakou, Marine Carpuat, Xuanli He, Sofia Bourhim, Andiswa Bukula, Muhidin Mohamed, Temitayo Olatoye, Tosin P. Adewumi, Hamam Mokayed, Christine Mwase, Wangui Kimotho, Foutse Yuehgoh, Anuoluwapo Aremu, Jessica Ojo, Shamsuddeen Hassan Muhammad, Salomey Osei, Abdul-Hakeem Omotayo, Chiamaka Chukwuneke, Perez Ogayo, Oumaima Hourrane, Salma El Anigri, Lolwethu Ndolela, Thabiso Mangwana, Shafie Abdi Mohamed, Ayinde Hassan, Oluwabusayo Olufunke Awoyomi, Lama Alkhaled, Sana Sabah Al-Azzawi, Naome A. Etori, Millicent Ochieng, Clemencia Siro, Njoroge Kiragu, Eric Muchiri, Wangari Kimotho, Sakayo Toadoum Sari, Lyse Naomi Wamba Momo, Daud Abolade, Simbiat Ajao, Iyanuoluwa Shode, Ricky Macharm, Ruqayya Nasir Iro, Saheed S. Abdullahi, Stephen E. Moore, Bernard Opoku, Zainab Akinjobi, Afolabi Abeeb, Nnaemeka C. Obiefuna, Onyekachi Raphael Ogbu, Sam Ochieng', Verrah Otiende, Chinedu E. Mbonu, Yao Lu, Pontus Stenetorp

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

xTower: A Multilingual LLM for Explaining and Correcting Translation Errors.

Marcos V. Treviso, Nuno Miguel Guerreiro, Sweta Agrawal, Ricardo Rei, José Pombal, Tânia Vaz, Helena Wu, Beatriz Silva, Daan van Stigt, André Martins

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Modeling User Preferences with Automatic Metrics: Creating a High-Quality Preference Dataset for Machine Translation.

Sweta Agrawal, José Guilherme Camargo de Souza, Ricardo Rei, António Farinhas, Gonçalo Rui Alves Faria, Patrick Fernandes, Nuno Miguel Guerreiro, André Martins

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

Can Automatic Metrics Assess High-Quality Translations?

Sweta Agrawal, António Farinhas, Ricardo Rei, André F. T. Martins

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

2023

Understanding and Detecting Hallucinations in Neural Machine Translation via Model Introspection.

Weijia Xu, Sweta Agrawal, Eleftheria Briakou, Marianna J. Martindale, Marine Carpuat

Trans. Assoc. Comput. Linguistics, 2023

AfriMTE and AfriCOMET: Empowering COMET to Embrace Under-resourced African Languages.

Jiayi Wang, David Ifeoluwa Adelani, Sweta Agrawal, Ricardo Rei, Eleftheria Briakou, Marine Carpuat, Marek Masiak, Xuanli He, Sofia Bourhim, Andiswa Bukula, Muhidin Mohamed, Temitayo Olatoye, Hamam Mokayed, Christine Mwase, Wangui Kimotho, Foutse Yuehgoh, Aremu Anuoluwapo, Jessica Ojo, Shamsuddeen Hassan Muhammad, Salomey Osei, Abdul-Hakeem Omotayo, Chiamaka Chukwuneke, Perez Ogayo, Oumaima Hourrane, Salma El Anigri, Lolwethu Ndolela, Thabiso Mangwana, Shafie Abdi Mohamed, Ayinde Hassan, Oluwabusayo Olufunke Awoyomi, Lama Alkhaled, Sana Sabah Al-Azzawi, Naome A. Etori, Millicent Ochieng, Clemencia Siro, Samuel Njoroge, Eric Muchiri, Wangari Kimotho, Lyse Naomi Wamba Momo, Daud Abolade, Simbiat Ajao, Tosin P. Adewumi, Iyanuoluwa Shode, Ricky Macharm, Ruqayya Nasir Iro, Saheed S. Abdullahi, Stephen E. Moore, Bernard Opoku, Zainab Akinjobi, Afolabi Abeeb, Nnaemeka C. Obiefuna, Onyekachi Raphael Ogbu, Sam Brian, Verrah Akinyi Otiende, Chinedu Emmanuel Mbonu, Sakayo Toadoum Sari, Pontus Stenetorp

CoRR, 2023

How To Control Text Simplification? An Empirical Study of Control Tokens for Meaning Preserving Controlled Simplification.

Sweta Agrawal, Marine Carpuat

CoRR, 2023

Findings of the IWSLT 2023 Evaluation Campaign.

Sweta Agrawal, Antonios Anastasopoulos, Luisa Bentivogli, Ondrej Bojar, Claudia Borg, Marine Carpuat, Roldano Cattoni, Mauro Cettolo, Mingda Chen, William Chen, Khalid Choukri, Alexandra Chronopoulou, Anna Currey, Thierry Declerck, Qianqian Dong, Kevin Duh, Yannick Estève, Marcello Federico, Souhir Gahbiche, Barry Haddow, Benjamin Hsu, Phu Mon Htut, Hirofumi Inaguma, Dávid Javorský, John Judge, Yasumasa Kano, Tom Ko, Rishu Kumar, Pengwei Li, Xutai Ma, Prashant Mathur, Evgeny Matusov, Paul McNamee, John P. McCrae, Kenton Murray, Maria Nadejde, Satoshi Nakamura, Matteo Negri, Ha Nguyen, Jan Niehues, Xing Niu, Atul Kr. Ojha, John E. Ortega, Proyag Pal, Juan Pino, Lonneke van der Plas, Peter Polák, Elijah Rippeth, Elizabeth Salesky, Jiatong Shi, Matthias Sperber, Sebastian Stüker, Katsuhito Sudoh, Yun Tang, Brian Thompson, Kevin Tran, Marco Turchi, Alex Waibel, Mingxuan Wang, Shinji Watanabe, Rodolfo Zevallos

Proceedings of the 20th International Conference on Spoken Language Translation, 2023

Physician Detection of Clinical Harm in Machine Translation: Quality Estimation Aids in Reliance and Backtranslation Identifies Critical Errors.

Nikita Mehandru, Sweta Agrawal, Yimin Xiao, Ge Gao, Elaine C. Khoong, Marine Carpuat, Niloufar Salehi

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

BLESS: Benchmarking Large Language Models on Sentence Simplification.

Tannon Kew, Alison Chi, Laura Vásquez-Rodríguez, Sweta Agrawal, Dennis Aumiller, Fernando Alva-Manchego, Matthew Shardlow

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Controlling Pre-trained Language Models for Grade-Specific Text Simplification.

Sweta Agrawal, Marine Carpuat

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

In-context Examples Selection for Machine Translation.

Sweta Agrawal, Chunting Zhou, Mike Lewis, Luke Zettlemoyer, Marjan Ghazvininejad

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets.

Julia Kreutzer, Isaac Caswell, Lisa Wang, Ahsan Wahab, Daan van Esch, Nasanbayar Ulzii-Orshikh, Allahsera Tapo, Nishant Subramani, Artem Sokolov, Claytone Sikasote, Monang Setyawan, Supheakmungkol Sarin, Sokhar Samb, Benoît Sagot, Clara Rivera, Annette Rios, Isabel Papadimitriou, Salomey Osei, Pedro Javier Ortiz Suárez, Iroro Orife, Kelechi Ogueji, Andre Niyongabo Rubungo, Toan Q. Nguyen, Mathias Müller, André Müller, Shamsuddeen Hassan Muhammad, Nanda Muhammad, Ayanda Mnyakeni, Jamshidbek Mirzakhalov, Tapiwanashe Matangira, Colin Leong, Nze Lawson, Sneha Kudugunta, Yacine Jernite, Mathias Jenny, Orhan Firat, Bonaventure F. P. Dossou, Sakhile Dlamini, Nisansa de Silva, Sakine Çabuk Balli, Stella Biderman, Alessia Battisti, Ahmed Baruwa, Ankur Bapna, Pallavi Baljekar, Israel Abebe Azime, Ayodele Awokoya, Duygu Ataman, Orevaoghene Ahia, Oghenefego Ahia, Sweta Agrawal, Mofetoluwa Adeyemi

Trans. Assoc. Comput. Linguistics, 2022

Quality Estimation via Backtranslation at the WMT 2022 Quality Estimation Task.

Sweta Agrawal, Nikita Mehandru, Niloufar Salehi, Marine Carpuat

Proceedings of the Seventh Conference on Machine Translation, 2022

Exploring the Benefits and Limitations of Multilinguality for Non-autoregressive Machine Translation.

Sweta Agrawal, Julia Kreutzer, Colin Cherry

Proceedings of the Seventh Conference on Machine Translation, 2022

Controlling Translation Formality Using Pre-trained Multilingual Language Models.

Elijah Rippeth, Sweta Agrawal, Marine Carpuat

Proceedings of the 19th International Conference on Spoken Language Translation, 2022

An Imitation Learning Curriculum for Text Editing with Non-Autoregressive Models.

Sweta Agrawal, Marine Carpuat

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Can Multilinguality benefit Non-autoregressive Machine Translation?

Sweta Agrawal, Julia Kreutzer, Colin Cherry

CoRR, 2021

A Review of Human Evaluation for Style Transfer.

Eleftheria Briakou, Sweta Agrawal, Ke Zhang, Joel R. Tetreault, Marine Carpuat

CoRR, 2021

Assessing Reference-Free Peer Evaluation for Machine Translation.

Sweta Agrawal, George F. Foster, Markus Freitag, Colin Cherry

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Evaluating the Evaluation Metrics for Style Transfer: A Case Study in Multilingual Formality Transfer.

Eleftheria Briakou, Sweta Agrawal, Joel R. Tetreault, Marine Carpuat

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

A Non-Autoregressive Edit-Based Approach to Controllable Text Simplification.

Sweta Agrawal, Weijia Xu, Marine Carpuat

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

Generating Diverse Translations via Weighted Fine-tuning and Hypotheses Filtering for the Duolingo STAPLE Task.

Sweta Agrawal, Marine Carpuat

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

2019

Controlling Text Complexity in Neural Machine Translation.

Sweta Agrawal, Marine Carpuat

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018

Deep Learning for Detecting Cyberbullying Across Multiple Social Media Platforms.

Sweta Agrawal, Amit Awekar

Proceedings of the Advances in Information Retrieval, 2018

2017

Smart Geo-fencing with Location Sensitive Product Affinity.

Ankur Garg, Sunav Choudhary, Payal Bajaj, Sweta Agrawal, Abhishek Kedia, Shubham Agrawal

Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2017