Sweta Agrawal

Orcid: 0000-0001-5692-0816

According to our database1, Sweta Agrawal authored at least 38 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Assessing the Role of Context in Chat Translation Evaluation: Is Context Helpful and Under What Conditions?
Trans. Assoc. Comput. Linguistics, 2024

Do Text Simplification Systems Preserve Meaning? A Human Evaluation via Reading Comprehension.
Trans. Assoc. Comput. Linguistics, 2024

Watching the Watchers: Exposing Gender Disparities in Machine Translation Quality Estimation.
CoRR, 2024

Modeling User Preferences with Automatic Metrics: Creating a High-Quality Preference Dataset for Machine Translation.
CoRR, 2024

xTower: A Multilingual LLM for Explaining and Correcting Translation Errors.
CoRR, 2024

The Prompt Report: A Systematic Survey of Prompting Techniques.
CoRR, 2024

QUEST: Quality-Aware Metropolis-Hastings Sampling for Machine Translation.
CoRR, 2024

Is Context Helpful for Chat Translation Evaluation?
CoRR, 2024

Tower: An Open Multilingual Large Language Model for Translation-Related Tasks.
CoRR, 2024

Tower v2: Unbabel-IST 2024 Submission for the General MT Shared Task.
Proceedings of the Ninth Conference on Machine Translation, 2024

Improving Context Usage for Translating Bilingual Customer Support Chat with Large Language Models.
Proceedings of the Ninth Conference on Machine Translation, 2024

Findings of the WMT 2024 Shared Task on Chat Translation.
Proceedings of the Ninth Conference on Machine Translation, 2024


xTower: A Multilingual LLM for Explaining and Correcting Translation Errors.
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.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Can Automatic Metrics Assess High-Quality Translations?
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.
Trans. Assoc. Comput. Linguistics, 2023

AfriMTE and AfriCOMET: Empowering COMET to Embrace Under-resourced African Languages.
CoRR, 2023

How To Control Text Simplification? An Empirical Study of Control Tokens for Meaning Preserving Controlled Simplification.
CoRR, 2023


Physician Detection of Clinical Harm in Machine Translation: Quality Estimation Aids in Reliance and Backtranslation Identifies Critical Errors.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

BLESS: Benchmarking Large Language Models on Sentence Simplification.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Controlling Pre-trained Language Models for Grade-Specific Text Simplification.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

In-context Examples Selection for Machine Translation.
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.
Trans. Assoc. Comput. Linguistics, 2022

Quality Estimation via Backtranslation at the WMT 2022 Quality Estimation Task.
Proceedings of the Seventh Conference on Machine Translation, 2022

Exploring the Benefits and Limitations of Multilinguality for Non-autoregressive Machine Translation.
Proceedings of the Seventh Conference on Machine Translation, 2022

Controlling Translation Formality Using Pre-trained Multilingual Language Models.
Proceedings of the 19th International Conference on Spoken Language Translation, 2022

An Imitation Learning Curriculum for Text Editing with Non-Autoregressive Models.
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?
CoRR, 2021

A Review of Human Evaluation for Style Transfer.
CoRR, 2021

Assessing Reference-Free Peer Evaluation for Machine Translation.
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.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

A Non-Autoregressive Edit-Based Approach to Controllable Text Simplification.
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.
Proceedings of the Fourth Workshop on Neural Generation and Translation, 2020

2019
Controlling Text Complexity in Neural Machine Translation.
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.
Proceedings of the Advances in Information Retrieval, 2018

2017
Smart Geo-fencing with Location Sensitive Product Affinity.
Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2017


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