Thomas Wolf
19 papers · 2018–2025 · 8 venues · across top CS/AI venues
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Research topics
Artificial Intelligence
(9)
Deep Learning
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Machine Learning
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Generation
(4)
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language model
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transfer learning
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large language model
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multi-task learning
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natural language processing
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transformer architecture
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model pretraining
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data repetition
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text generation
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natural language generation
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language model adaptation
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relation extraction
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sample efficiency
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model evaluation
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representation learning
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knowledge distillation
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catastrophic forgetting
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distributed learning
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language modeling
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named entity recognition
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Papers
Scaling Data-Constrained Language Models
JMLR 2025
GAIA: a benchmark for General AI Assistants
ICLR 2024
The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale
NeurIPS 2024
FinGPT: Large Generative Models for a Small Language
EMNLP 2023
Grounding Large Language Models in Interactive Environments with Online Reinforcement Learning
ICML 2023
Scaling Data-Constrained Language Models
NeurIPS 2023
Multitask Prompted Training Enables Zero-Shot Task Generalization
ICLR 2022
Datasets: A Community Library for Natural Language Processing
EMNLP 2021
Distributed Deep Learning In Open Collaborations
NeurIPS 2021
Learning from others' mistakes: Avoiding dataset biases without modeling them
ICLR 2021
Movement Pruning: Adaptive Sparsity by Fine-Tuning
NeurIPS 2020
Overview of the SustaiNLP 2020 Shared Task
EMNLP 2020
The Amazing World of Neural Language Generation
EMNLP 2020
Transformers: State-of-the-Art Natural Language Processing
EMNLP 2020
A Hierarchical Multi-Task Approach for Learning Embeddings from Semantic Tasks
AAAI 2019
Large-Scale Transfer Learning for Natural Language Generation
ACL 2019
Proceedings of the Workshop on Methods for Optimizing and Evaluating Neural Language Generation
NAACL 2019
Transfer Learning in Natural Language Processing
NAACL 2019
Continuous Learning in a Hierarchical Multiscale Neural Network
ACL 2018