NLPExplorer

Sweta Agrawal

Number of Papers:- 27

Number of Citations:- 0

First ACL Paper:- 2019

Latest ACL Paper:- 2024

Venues:-

NAACL

WiNLP

EMNLP

Findings

TACL

ACL

WMT

NGT

GEM

IJCNLP

IWSLT

Co-Authors:-

Similar Authors:-

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

Sweta Agrawal | Marine Carpuat |

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

Improving Context Usage for Translating Bilingual Customer Support Chat with Large Language Models WMT

Jose Pombal | Sweta Agrawal | André Martins |

xTower: A Multilingual LLM for Explaining and Correcting Translation Errors F i n d i n g s - E M N L P

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

Tower v2: Unbabel-IST 2024 Submission for the General MT Shared Task WMT

Findings of the WMT 2024 Shared Task on Chat Translation WMT

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

Can Automatic Metrics Assess High-Quality Translations? EMNLP

Sweta Agrawal | António Farinhas | Ricardo Rei | Andre Martins |

FINDINGS OF THE IWSLT 2023 EVALUATION CAMPAIGN IWSLT

In-context Examples Selection for Machine Translation F i n d i n g s - A C L

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

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

Sweta Agrawal | Marine Carpuat |

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

BLESS: Benchmarking Large Language Models on Sentence Simplification EMNLP

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

Sweta Agrawal | Marine Carpuat |

Controlling Translation Formality Using Pre-trained Multilingual Language Models ACL IWSLT

Elijah Rippeth | Sweta Agrawal | Marine Carpuat |

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

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

Sweta Agrawal | Marine Carpuat |

Multitask Models for Controlling the Complexity of Neural Machine Translation ACL WS WiNLP

Sweta Agrawal | Marine Carpuat |

Controlling Text Complexity in Neural Machine Translation EMNLP

Sweta Agrawal | Marine Carpuat |

Sweta Agrawal

Number of Papers:- 27

Number of Citations:- 0

First ACL Paper:- 2019

Latest ACL Paper:- 2024

Venues:-

Co-Authors:-

Similar Authors:-

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

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

Improving Context Usage for Translating Bilingual Customer Support Chat with Large Language Models WMT

xTower: A Multilingual LLM for Explaining and Correcting Translation Errors F i n d i n g s - E M N L P

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

Tower v2: Unbabel-IST 2024 Submission for the General MT Shared Task WMT

Findings of the WMT 2024 Shared Task on Chat Translation WMT

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

Can Automatic Metrics Assess High-Quality Translations? EMNLP

FINDINGS OF THE IWSLT 2023 EVALUATION CAMPAIGN IWSLT

In-context Examples Selection for Machine Translation F i n d i n g s - A C L

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

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

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

BLESS: Benchmarking Large Language Models on Sentence Simplification EMNLP

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

Controlling Translation Formality Using Pre-trained Multilingual Language Models ACL IWSLT

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

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

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

Assessing Reference-Free Peer Evaluation for Machine Translation NAACL

A Review of Human Evaluation for Style Transfer ACL GEM IJCNLP

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

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

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

Multitask Models for Controlling the Complexity of Neural Machine Translation ACL WS WiNLP

Controlling Text Complexity in Neural Machine Translation EMNLP