Julia Kreutzer

According to our database1, Julia Kreutzer authored at least 43 papers between 2015 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Back to Basics: Revisiting REINFORCE Style Optimization for Learning from Human Feedback in LLMs.
CoRR, 2024

Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model.
CoRR, 2024

Aya Dataset: An Open-Access Collection for Multilingual Instruction Tuning.
CoRR, 2024

2022
Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets.
Trans. Assoc. Comput. Linguistics, 2022

Building Machine Translation Systems for the Next Thousand Languages.
CoRR, 2022

Domain Curricula for Code-Switched MT at MixMT 2022.
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


JoeyS2T: Minimalistic Speech-to-Text Modeling with JoeyNMT.
Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Intriguing Properties of Compression on Multilingual Models.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021
MasakhaNER: Named Entity Recognition for African Languages.
Trans. Assoc. Comput. Linguistics, 2021

Can Multilinguality benefit Non-autoregressive Machine Translation?
CoRR, 2021

Evaluating Multiway Multilingual NMT in the Turkic Languages.
CoRR, 2021

Modelling Latent Translations for Cross-Lingual Transfer.
CoRR, 2021

Evaluating Multiway Multilingual NMT in the Turkic Languages.
Proceedings of the Sixth Conference on Machine Translation, 2021

Revisiting the Weaknesses of Reinforcement Learning for Neural Machine Translation.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Bandits Don't Follow Rules: Balancing Multi-Facet Machine Translation with Multi-Armed Bandits.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

The Low-Resource Double Bind: An Empirical Study of Pruning for Low-Resource Machine Translation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Offline Reinforcement Learning from Human Feedback in Real-World Sequence-to-Sequence Tasks.
Proceedings of the 5th Workshop on Structured Prediction for NLP, 2021

2020
Reinforcement Learning for Machine Translation: from Simulations to Real-World Applications.
PhD thesis, 2020

Neural Machine Translation for Extremely Low-Resource African Languages: A Case Study on Bambara.
CoRR, 2020

Learning from Human Feedback: Challenges for Real-World Reinforcement Learning in NLP.
CoRR, 2020

Participatory Research for Low-resourced Machine Translation: A Case Study in African Languages.
CoRR, 2020

On Optimal Transformer Depth for Low-Resource Language Translation.
Proceedings of the 1st AfricaNLP Workshop Proceedings, 2020



Inference Strategies for Machine Translation with Conditional Masking.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Correct Me If You Can: Learning from Error Corrections and Markings.
Proceedings of the 22nd Annual Conference of the European Association for Machine Translation, 2020

KINNEWS and KIRNEWS: Benchmarking Cross-Lingual Text Classification for Kinyarwanda and Kirundi.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019
Joey NMT: A Minimalist NMT Toolkit for Novices.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Self-Regulated Interactive Sequence-to-Sequence Learning.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Explaining and Generalizing Back-Translation through Wake-Sleep.
CoRR, 2018

Can Neural Machine Translation be Improved with User Feedback?
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Learning to Segment Inputs for NMT Favors Character-Level Processing.
Proceedings of the 15th International Conference on Spoken Language Translation, 2018

A Reinforcement Learning Approach to Interactive-Predictive Neural Machine Translation.
Proceedings of the 21st Annual Conference of the European Association for Machine Translation, 2018

Reliability and Learnability of Human Bandit Feedback for Sequence-to-Sequence Reinforcement Learning.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
A Shared Task on Bandit Learning for Machine Translation.
Proceedings of the Second Conference on Machine Translation, 2017

Learning What's Easy: Fully Differentiable Neural Easy-First Taggers.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Bandit Structured Prediction for Neural Sequence-to-Sequence Learning.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
Stochastic Structured Prediction under Bandit Feedback.
CoRR, 2016

Stochastic Structured Prediction under Bandit Feedback.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Learning Structured Predictors from Bandit Feedback for Interactive NLP.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015
QUality Estimation from ScraTCH (QUETCH): Deep Learning for Word-level Translation Quality Estimation.
Proceedings of the Tenth Workshop on Statistical Machine Translation, 2015


  Loading...