David Grangier
40 papers · 2009–2025 · 8 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird πΊοΈ Taxonomy Completionist (16) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (8)
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Academic Marathon
(16)
πΊοΈ
Taxonomy Completionist
(16)
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Renaissance Researcher
(7)
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Keyword Trendsetter Combo
(3)
π€
Dynamic Duo
(14)
π§¬
Topic Evolution
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Keyword Champion
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Deep Specialist
(10)
ποΈ
Keyword Collector
(50)
π₯
Unstoppable
(7)
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Trend Setter
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Conference Pioneer
β‘
Prolific Year
(6)
π
Century Club
(40)
Conferences
ACL (12)
EMNLP (6)
ICML (6)
ICLR (5)
NAACL (5)
NIPS (4)
AISTATS (1)
CVPR (1)
Top co-authors
Keywords
neural machine translation
(10)
language model
(7)
text generation
(5)
language modeling
(4)
machine translation
(4)
synthetic datum
(3)
representation learning
(3)
story generation
(2)
beam search
(2)
translation quality
(2)
paraphrase generation
(2)
information retrieval
(2)
human evaluation
(2)
sequence to sequence
(2)
convolutional neural network
(2)
cross-lingual transfer
(2)
transfer learning
(2)
unsupervised learning
(2)
data augmentation
(2)
bilingual language model
(2)
Papers
Task-Adaptive Pretrained Language Models via Clustered-Importance Sampling
ICLR 2025
Training Bilingual LMs with Data Constraints in the Targeted Language
ACL 2025
The AdEMAMix Optimizer: Better, Faster, Older
ICLR 2025
Soup-of-Experts: Pretraining Specialist Models via Parameters Averaging
ICML 2025
Assessing the Role of Data Quality in Training Bilingual Language Models
EMNLP 2025
Scaling Laws for Forgetting during Finetuning with Pretraining Data Injection
ICML 2025
No Need to Talk: Asynchronous Mixture of Language Models
ICLR 2025
Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling
ACL 2024
Aggregate-and-Adapt Natural Language Prompts for Downstream Generalization of CLIP
NIPS 2024
The Trade-offs of Domain Adaptation for Neural Language Models
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
A Natural Diet: Towards Improving Naturalness of Machine Translation Output
ACL 2022
AUXILIARY TASK UPDATE DECOMPOSITION: THE GOOD, THE BAD AND THE NEUTRAL
ICLR 2021
Toward Better Storylines with Sentence-Level Language Models
ACL 2020
Translationese as a Language in βMultilingualβ NMT
ACL 2020
BLEU might be Guilty but References are not Innocent
EMNLP 2020
Human-Paraphrased References Improve Neural Machine Translation
EMNLP 2020
ELI5: Long Form Question Answering
ACL 2019
Unsupervised Paraphrasing without Translation
ACL 2019
Tagged Back-Translation
ACL 2019
3D Human Pose Estimation in Video With Temporal Convolutions and Semi-Supervised Training
CVPR 2019
fairseq: A Fast, Extensible Toolkit for Sequence Modeling
NAACL 2019
Unsupervised Hierarchical Story Infilling
NAACL 2019
Scaling Neural Machine Translation
EMNLP 2018
Controllable Abstractive Summarization
ACL 2018
Understanding Back-Translation at Scale
EMNLP 2018
Analyzing Uncertainty in Neural Machine Translation
ICML 2018
QuickEdit: Editing Text & Translations by Crossing Words Out
NAACL 2018
Classical Structured Prediction Losses for Sequence to Sequence Learning
NAACL 2018
Convolutional Sequence to Sequence Learning
ICML 2017
Efficient softmax approximation for GPUs
ICML 2017
A Convolutional Encoder Model for Neural Machine Translation
ACL 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
NIPS 2010
Label Embedding Trees for Large Multi-Class Tasks
NIPS 2010
Half Transductive Ranking
AISTATS 2010
Polynomial Semantic Indexing
NIPS 2009