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Sweta Agrawal
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Journal Articles
- 2024
- [j3]Sweta Agrawal, Marine Carpuat:
Do Text Simplification Systems Preserve Meaning? A Human Evaluation via Reading Comprehension. Trans. Assoc. Comput. Linguistics 12: 432-448 (2024) - 2023
- [j2]Weijia Xu, Sweta Agrawal, Eleftheria Briakou, Marianna J. Martindale, Marine Carpuat:
Understanding and Detecting Hallucinations in Neural Machine Translation via Model Introspection. Trans. Assoc. Comput. Linguistics 11: 546-564 (2023) - 2022
- [j1]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:
Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets. Trans. Assoc. Comput. Linguistics 10: 50-72 (2022)
Conference and Workshop Papers
- 2023
- [c16]Sweta Agrawal, Chunting Zhou, Mike Lewis, Luke Zettlemoyer, Marjan Ghazvininejad:
In-context Examples Selection for Machine Translation. ACL (Findings) 2023: 8857-8873 - [c15]Nikita Mehandru
, Sweta Agrawal, Yimin Xiao, Ge Gao, Elaine C. Khoong, Marine Carpuat, Niloufar Salehi:
Physician Detection of Clinical Harm in Machine Translation: Quality Estimation Aids in Reliance and Backtranslation Identifies Critical Errors. EMNLP 2023: 11633-11647 - [c14]Sweta Agrawal, Marine Carpuat:
Controlling Pre-trained Language Models for Grade-Specific Text Simplification. EMNLP 2023: 12807-12819 - [c13]Tannon Kew, Alison Chi, Laura Vásquez-Rodríguez, Sweta Agrawal, Dennis Aumiller, Fernando Alva-Manchego, Matthew Shardlow:
BLESS: Benchmarking Large Language Models on Sentence Simplification. EMNLP 2023: 13291-13309 - [c12]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:
Findings of the IWSLT 2023 Evaluation Campaign. IWSLT@ACL 2023: 1-61 - 2022
- [c11]Sweta Agrawal, Marine Carpuat:
An Imitation Learning Curriculum for Text Editing with Non-Autoregressive Models. ACL (1) 2022: 7550-7563 - [c10]Elijah Rippeth, Sweta Agrawal, Marine Carpuat:
Controlling Translation Formality Using Pre-trained Multilingual Language Models. IWSLT@ACL 2022: 327-340 - [c9]Sweta Agrawal, Julia Kreutzer, Colin Cherry:
Exploring the Benefits and Limitations of Multilinguality for Non-autoregressive Machine Translation. WMT 2022: 177-187 - [c8]Sweta Agrawal, Nikita Mehandru, Niloufar Salehi, Marine Carpuat:
Quality Estimation via Backtranslation at the WMT 2022 Quality Estimation Task. WMT 2022: 593-596 - 2021
- [c7]Sweta Agrawal, Weijia Xu, Marine Carpuat:
A Non-Autoregressive Edit-Based Approach to Controllable Text Simplification. ACL/IJCNLP (Findings) 2021: 3757-3769 - [c6]Eleftheria Briakou, Sweta Agrawal, Joel R. Tetreault, Marine Carpuat:
Evaluating the Evaluation Metrics for Style Transfer: A Case Study in Multilingual Formality Transfer. EMNLP (1) 2021: 1321-1336 - [c5]Sweta Agrawal, George F. Foster, Markus Freitag, Colin Cherry:
Assessing Reference-Free Peer Evaluation for Machine Translation. NAACL-HLT 2021: 1158-1171 - 2020
- [c4]Sweta Agrawal, Marine Carpuat:
Generating Diverse Translations via Weighted Fine-tuning and Hypotheses Filtering for the Duolingo STAPLE Task. NGT@ACL 2020: 178-187 - 2019
- [c3]Sweta Agrawal, Marine Carpuat:
Controlling Text Complexity in Neural Machine Translation. EMNLP/IJCNLP (1) 2019: 1549-1564 - 2018
- [c2]Sweta Agrawal, Amit Awekar
:
Deep Learning for Detecting Cyberbullying Across Multiple Social Media Platforms. ECIR 2018: 141-153 - 2017
- [c1]Ankur Garg, Sunav Choudhary
, Payal Bajaj, Sweta Agrawal, Abhishek Kedia, Shubham Agrawal:
Smart Geo-fencing with Location Sensitive Product Affinity. SIGSPATIAL/GIS 2017: 39:1-39:10
Informal and Other Publications
- 2024
- [i22]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:
Tower: An Open Multilingual Large Language Model for Translation-Related Tasks. CoRR abs/2402.17733 (2024) - [i21]Sweta Agrawal, M. Amin Farajian, Patrick Fernandes, Ricardo Rei, André F. T. Martins:
Is Context Helpful for Chat Translation Evaluation? CoRR abs/2403.08314 (2024) - [i20]Sweta Agrawal, António Farinhas, Ricardo Rei, André F. T. Martins:
Can Automatic Metrics Assess High-Quality Translations? CoRR abs/2405.18348 (2024) - [i19]Gonçalo Rui Alves Faria, Sweta Agrawal, António Farinhas, Ricardo Rei, José G. C. de Souza, André F. T. Martins:
QUEST: Quality-Aware Metropolis-Hastings Sampling for Machine Translation. CoRR abs/2406.00049 (2024) - [i18]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:
The Prompt Report: A Systematic Survey of Prompting Techniques. CoRR abs/2406.06608 (2024) - [i17]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:
xTower: A Multilingual LLM for Explaining and Correcting Translation Errors. CoRR abs/2406.19482 (2024) - 2023
- [i16]Weijia Xu, Sweta Agrawal, Eleftheria Briakou, Marianna J. Martindale, Marine Carpuat:
Understanding and Detecting Hallucinations in Neural Machine Translation via Model Introspection. CoRR abs/2301.07779 (2023) - [i15]Sweta Agrawal, Marine Carpuat:
How To Control Text Simplification? An Empirical Study of Control Tokens for Meaning Preserving Controlled Simplification. CoRR abs/2305.14993 (2023) - [i14]Tannon Kew, Alison Chi, Laura Vásquez-Rodríguez, Sweta Agrawal, Dennis Aumiller, Fernando Alva-Manchego, Matthew Shardlow:
BLESS: Benchmarking Large Language Models on Sentence Simplification. CoRR abs/2310.15773 (2023) - [i13]Nikita Mehandru, Sweta Agrawal, Yimin Xiao, Elaine C. Khoong, Ge Gao, Marine Carpuat, Niloufar Salehi:
Physician Detection of Clinical Harm in Machine Translation: Quality Estimation Aids in Reliance and Backtranslation Identifies Critical Errors. CoRR abs/2310.16924 (2023) - [i12]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:
AfriMTE and AfriCOMET: Empowering COMET to Embrace Under-resourced African Languages. CoRR abs/2311.09828 (2023) - [i11]Sweta Agrawal, Marine Carpuat:
Do Text Simplification Systems Preserve Meaning? A Human Evaluation via Reading Comprehension. CoRR abs/2312.10126 (2023) - 2022
- [i10]Sweta Agrawal, Marine Carpuat:
An Imitation Learning Curriculum for Text Editing with Non-Autoregressive Models. CoRR abs/2203.09486 (2022) - [i9]Elijah Rippeth, Sweta Agrawal, Marine Carpuat:
Controlling Translation Formality Using Pre-trained Multilingual Language Models. CoRR abs/2205.06644 (2022) - [i8]Sweta Agrawal, Chunting Zhou, Mike Lewis, Luke Zettlemoyer, Marjan Ghazvininejad:
In-context Examples Selection for Machine Translation. CoRR abs/2212.02437 (2022) - 2021
- [i7]Isaac Caswell, Julia Kreutzer, 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, Rubungo Andre Niyongabo, 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:
Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets. AfricaNLP 2021 - [i6]Sweta Agrawal, George F. Foster, Markus Freitag, Colin Cherry:
Assessing Reference-Free Peer Evaluation for Machine Translation. CoRR abs/2104.05146 (2021) - [i5]Eleftheria Briakou, Sweta Agrawal, Ke Zhang, Joel R. Tetreault, Marine Carpuat:
A Review of Human Evaluation for Style Transfer. CoRR abs/2106.04747 (2021) - [i4]Eleftheria Briakou, Sweta Agrawal, Joel R. Tetreault, Marine Carpuat:
Evaluating the Evaluation Metrics for Style Transfer: A Case Study in Multilingual Formality Transfer. CoRR abs/2110.10668 (2021) - [i3]Sweta Agrawal, Julia Kreutzer, Colin Cherry:
Can Multilinguality benefit Non-autoregressive Machine Translation? CoRR abs/2112.08570 (2021) - 2019
- [i2]Sweta Agrawal, Marine Carpuat:
Controlling Text Complexity in Neural Machine Translation. CoRR abs/1911.00835 (2019) - 2018
- [i1]Sweta Agrawal, Amit Awekar
:
Deep Learning for Detecting Cyberbullying Across Multiple Social Media Platforms. CoRR abs/1801.06482 (2018)
Coauthor Index
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