James Cross

Affiliations:
  • Meta AI
  • Facebook, Menlo Park, CA, USA (former)
  • Oregon State University, Corvallis, OR, USA (former)
  • City University of New York, NY, USA (former)


According to our database1, James Cross authored at least 27 papers between 2013 and 2023.

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

Timeline

Legend:

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Links

Online presence:

On csauthors.net:

Bibliography

2023
Efficiently Upgrading Multilingual Machine Translation Models to Support More Languages.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

2022
No Language Left Behind: Scaling Human-Centered Machine Translation.
CoRR, 2022

Lifting the Curse of Multilinguality by Pre-training Modular Transformers.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Tricks for Training Sparse Translation Models.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Data Selection Curriculum for Neural Machine Translation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Multilingual Machine Translation with Hyper-Adapters.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

How Robust is Neural Machine Translation to Language Imbalance in Multilingual Tokenizer Training?
Proceedings of the 15th biennial conference of the Association for Machine Translation in the Americas (Volume 1: Research Track), 2022

Alternative Input Signals Ease Transfer in Multilingual Machine Translation.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Facebook AI WMT21 News Translation Task Submission.
CoRR, 2021

On the Evaluation of Machine Translation for Terminology Consistency.
CoRR, 2021

Facebook AI's WMT21 News Translation Task Submission.
Proceedings of the Sixth Conference on Machine Translation, 2021

Deep Encoder, Shallow Decoder: Reevaluating Non-autoregressive Machine Translation.
Proceedings of the 9th International Conference on Learning Representations, 2021

Classification-based Quality Estimation: Small and Efficient Models for Real-world Applications.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

XLEnt: Mining a Large Cross-lingual Entity Dataset with Lexical-Semantic-Phonetic Word Alignment.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Multilingual Neural Machine Translation with Deep Encoder and Multiple Shallow Decoders.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Improving Zero-Shot Translation by Disentangling Positional Information.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Learn to Talk via Proactive Knowledge Transfer.
CoRR, 2020

Deep Encoder, Shallow Decoder: Reevaluating the Speed-Quality Tradeoff in Machine Translation.
CoRR, 2020

Parallel Machine Translation with Disentangled Context Transformer.
CoRR, 2020

Non-autoregressive Machine Translation with Disentangled Context Transformer.
Proceedings of the 37th International Conference on Machine Learning, 2020

Monotonic Multihead Attention.
Proceedings of the 8th International Conference on Learning Representations, 2020

A Survey of Qualitative Error Analysis for Neural Machine Translation Systems.
Proceedings of the 14th Conference of the Association for Machine Translation in the Americas, 2020

2018
Simple Fusion: Return of the Language Model.
Proceedings of the Third Conference on Machine Translation: Research Papers, 2018

2016
Span-Based Constituency Parsing with a Structure-Label System and Provably Optimal Dynamic Oracles.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Incremental Parsing with Minimal Features Using Bi-Directional LSTM.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015
Good, Better, Best: Choosing Word Embedding Context.
CoRR, 2015

2013
Optimal Incremental Parsing via Best-First Dynamic Programming.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013


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