David Grangier

Assessing the Role of Data Quality in Training Bilingual Language Models EMNLP 2025 No Need to Talk: Asynchronous Mixture of Language Models ICLR 2025 Scaling Laws for Forgetting during Finetuning with Pretraining Data Injection ICML 2025 Soup-of-Experts: Pretraining Specialist Models via Parameters Averaging ICML 2025 Task-Adaptive Pretrained Language Models via Clustered-Importance Sampling ICLR 2025 The AdEMAMix Optimizer: Better, Faster, Older ICLR 2025 Training Bilingual LMs with Data Constraints in the Targeted Language ACL 2025 Aggregate-and-Adapt Natural Language Prompts for Downstream Generalization of CLIP NeurIPS 2024 Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling ACL 2024 A Natural Diet: Towards Improving Naturalness of Machine Translation Output ACL 2022 Learning Strides in Convolutional Neural Networks ICLR 2022 On Systematic Style Differences between Unsupervised and Supervised MT and an Application for High-Resource Machine Translation NAACL 2022 The Trade-offs of Domain Adaptation for Neural Language Models ACL 2022 AUXILIARY TASK UPDATE DECOMPOSITION: THE GOOD, THE BAD AND THE NEUTRAL ICLR 2021 BLEU might be Guilty but References are not Innocent EMNLP 2020 Human-Paraphrased References Improve Neural Machine Translation EMNLP 2020 Toward Better Storylines with Sentence-Level Language Models ACL 2020 Translationese as a Language in “Multilingual” NMT ACL 2020 3D Human Pose Estimation in Video With Temporal Convolutions and Semi-Supervised Training CVPR 2019 ELI5: Long Form Question Answering ACL 2019 fairseq: A Fast, Extensible Toolkit for Sequence Modeling NAACL 2019 Tagged Back-Translation ACL 2019 Unsupervised Hierarchical Story Infilling NAACL 2019 Unsupervised Paraphrasing without Translation ACL 2019 Analyzing Uncertainty in Neural Machine Translation ICML 2018 Classical Structured Prediction Losses for Sequence to Sequence Learning NAACL 2018 Controllable Abstractive Summarization ACL 2018 QuickEdit: Editing Text & Translations by Crossing Words Out NAACL 2018 Scaling Neural Machine Translation EMNLP 2018 Understanding Back-Translation at Scale EMNLP 2018 A Convolutional Encoder Model for Neural Machine Translation ACL 2017 Convolutional Sequence to Sequence Learning ICML 2017 Efficient softmax approximation for GPUs ICML 2017 Language Modeling with Gated Convolutional Networks ICML 2017 Neural Text Generation from Structured Data with Application to the Biography Domain EMNLP 2016 Strategies for Training Large Vocabulary Neural Language Models ACL 2016 Feature Set Embedding for Incomplete Data NeurIPS 2010 Half Transductive Ranking AISTATS 2010 Label Embedding Trees for Large Multi-Class Tasks NeurIPS 2010 Polynomial Semantic Indexing NeurIPS 2009