Thibault Fevry
6 papers · 2018–2022 · 4 venues · across top CS/AI venues
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Research topics
Deep Learning
(5)
Natural Language Processing
(4)
Generation
(3)
Resources & Methods
(3)
Machine Learning
(2)
Architectures
(2)
Learning Types Β· Deep Learning
(2)
Models
(2)
Artificial Intelligence
(1)
Knowledge & Reasoning
(1)
Applications
(1)
Core AI
(1)
Core Methods
(1)
Learning Types Β· Machine Learning
(1)
Representation
(1)
Keywords
unsupervised learning
(1)
transformer architecture
(1)
multi-task learning
(1)
few-shot learning
(1)
natural language generation
(1)
prompt engineering
(1)
sentence compression
(1)
text summarization
(1)
factual knowledge
(1)
knowledge probing
(1)
natural language understanding
(1)
weight sharing
(1)
denoising autoencoder
(1)
language model
(1)
zero-shot generalization
(1)
pre-trained language model
(1)
multilingual model
(1)
knowledge retrieval
(1)
encoder-decoder model
(1)
entity memory
(1)
Papers
Multitask Prompted Training Enables Zero-Shot Task Generalization
ICLR 2022
PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts
ACL 2022
Do Transformer Modifications Transfer Across Implementations and Applications?
EMNLP 2021
Rethinking Embedding Coupling in Pre-trained Language Models
ICLR 2021
Entities as Experts: Sparse Memory Access with Entity Supervision
EMNLP 2020
Unsupervised Sentence Compression using Denoising Auto-Encoders
CoNLL 2018