Smart Geo-fencing with Location Sensitive Product Affinity. - Ankur Garg; Sunav Choudhary; Payal Bajaj; Sweta Agrawal; Abhishek Kedia; Shubham Agrawal (SIGSPATIAL/GIS, 2017)

Deep Learning for Detecting Cyberbullying Across Multiple Social Media Platforms. - Sweta Agrawal; Amit Awekar (ECIR, 2018)

Controlling Text Complexity in Neural Machine Translation. - Sweta Agrawal; Marine Carpuat (EMNLP/IJCNLP (1), 2019)

Generating Diverse Translations via Weighted Fine-tuning and Hypotheses Filtering for the Duolingo STAPLE Task. - Sweta Agrawal; Marine Carpuat (NGT@ACL, 2020)

A Non-Autoregressive Edit-Based Approach to Controllable Text Simplification. - Sweta Agrawal; Weijia Xu; Marine Carpuat (ACL/IJCNLP (Findings), 2021)

Evaluating the Evaluation Metrics for Style Transfer: A Case Study in Multilingual Formality Transfer. - Eleftheria Briakou; Sweta Agrawal; Joel R. Tetreault; Marine Carpuat (EMNLP (1), 2021)

Assessing Reference-Free Peer Evaluation for Machine Translation. - Sweta Agrawal; George F. Foster; Markus Freitag; Colin Cherry (NAACL-HLT, 2021)

A Review of Human Evaluation for Style Transfer. - Eleftheria Briakou; Sweta Agrawal; Ke Zhang 013; Joel R. Tetreault; Marine Carpuat (CoRR, 2021)

Can Multilinguality benefit Non-autoregressive Machine Translation? - Sweta Agrawal; Julia Kreutzer; Colin Cherry (CoRR, 2021)

An Imitation Learning Curriculum for Text Editing with Non-Autoregressive Models. - Sweta Agrawal; Marine Carpuat (ACL (1), 2022)

Controlling Translation Formality Using Pre-trained Multilingual Language Models. - Elijah Rippeth; Sweta Agrawal; Marine Carpuat (IWSLT@ACL, 2022)

Exploring the Benefits and Limitations of Multilinguality for Non-autoregressive Machine Translation. - Sweta Agrawal; Julia Kreutzer; Colin Cherry (WMT, 2022)

Quality Estimation via Backtranslation at the WMT 2022 Quality Estimation Task. - Sweta Agrawal; Nikita Mehandru; Niloufar Salehi; Marine Carpuat (WMT, 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; et al. (Trans. Assoc. Comput. Linguistics, 2022)

In-context Examples Selection for Machine Translation. - Sweta Agrawal; Chunting Zhou; Mike Lewis; Luke Zettlemoyer; Marjan Ghazvininejad (ACL (Findings), 2023)

Controlling Pre-trained Language Models for Grade-Specific Text Simplification. - Sweta Agrawal; Marine Carpuat (EMNLP, 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 (EMNLP, 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 001; Elaine C. Khoong; Marine Carpuat; Niloufar Salehi (EMNLP, 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; et al. (IWSLT@ACL, 2023)

How To Control Text Simplification? An Empirical Study of Control Tokens for Meaning Preserving Controlled Simplification. - Sweta Agrawal; Marine Carpuat (CoRR, 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; et al. (CoRR, 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)

Complexity controlled Natural Language Generation. - Sweta Agrawal (2023)

Can Automatic Metrics Assess High-Quality Translations? - Sweta Agrawal; António Farinhas; Ricardo Rei; André F. T. Martins (EMNLP, 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 F. T. Martins (EMNLP, 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 (EMNLP (Findings), 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; et al. (NAACL-HLT, 2024)

QUEST: Quality-Aware Metropolis-Hastings Sampling for Machine Translation. - Gonçalo Rui Alves Faria; Sweta Agrawal; António Farinhas; Ricardo Rei; José Guilherme Camargo de Souza; André F. T. Martins (NeurIPS, 2024)

Findings of the WMT 2024 Shared Task on Chat Translation. - Wafaa Mohammed; Sweta Agrawal; M. Amin Farajian; Vera Cabarrão; Bryan Eikema; Ana C. Farinha; José Guilherme Camargo de Souza (WMT, 2024)

Improving Context Usage for Translating Bilingual Customer Support Chat with Large Language Models. - José Pombal; Sweta Agrawal; André F. T. Martins (WMT, 2024)

Tower v2: Unbabel-IST 2024 Submission for the General MT Shared Task. - Ricardo Rei; José Pombal; Nuno Miguel Guerreiro; João Alves 003; Pedro Henrique Martins; Patrick Fernandes; Helena Wu; Tânia Vaz; Duarte M. Alves; M. Amin Farajian; Sweta Agrawal; António Farinhas; et al. (WMT, 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 003; M. Amin Farajian; Ben Peters; Ricardo Rei; Patrick Fernandes; Sweta Agrawal; Pierre Colombo; José G. C. de Souza; et al. (CoRR, 2024)

Is Context Helpful for Chat Translation Evaluation? - Sweta Agrawal; M. Amin Farajian; Patrick Fernandes; Ricardo Rei; 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; et al. (CoRR, 2024)

Fine-Grained Reward Optimization for Machine Translation using Error Severity Mappings. - Miguel Moura Ramos; Tomás Almeida; Daniel Vareta; Filipe Azevedo 001; Sweta Agrawal; Patrick Fernandes; André F. T. Martins (CoRR, 2024)

A Context-aware Framework for Translation-mediated Conversations. - José Pombal; Sweta Agrawal; Patrick Fernandes; Emmanouil Zaranis; André F. T. Martins (CoRR, 2024)

Do Text Simplification Systems Preserve Meaning? A Human Evaluation via Reading Comprehension. - Sweta Agrawal; Marine Carpuat (Trans. Assoc. Comput. Linguistics, 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)

Watching the Watchers: Exposing Gender Disparities in Machine Translation Quality Estimation. - Emmanouil Zaranis; Giuseppe Attanasio; Sweta Agrawal; André F. T. Martins (ACL (1), 2025)

Sustaining Human Agency, Attending to Its Cost: An Investigation into Generative AI Design for Non-Native Speakers' Language Use. - Yimin Xiao; Cartor Hancock; Sweta Agrawal; Nikita Mehandru; Niloufar Salehi; Marine Carpuat; Ge Gao 001 (CHI, 2025)

Optimization Landscapes Learned: Proxy Networks Boost Convergence in Physics-based Inverse Problems. - Girnar Goyal; Philipp Holl; Sweta Agrawal; Nils Thuerey (CoRR, 2025)

Fenchel-Young Variational Learning. - Sophia Sklaviadis; Sweta Agrawal; António Farinhas; André F. T. Martins; Mário A. T. Figueiredo (CoRR, 2025)

Translate Smart, not Hard: Cascaded Translation Systems with Quality-Aware Deferral. - António Farinhas; Nuno Miguel Guerreiro; Sweta Agrawal; Ricardo Rei; André F. T. Martins (CoRR, 2025)

Do LLMs Understand Your Translations? Evaluating Paragraph-level MT with Question Answering. - Patrick Fernandes; Sweta Agrawal; Emmanouil Zaranis; André F. T. Martins; Graham Neubig (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)

Multilingual Contextualization of Large Language Models for Document-Level Machine Translation. - Miguel Moura Ramos; Patrick Fernandes; Sweta Agrawal; André F. T. Martins (CoRR, 2025)