Antoine Simoulin
8 papers · 2021–2025 · 6 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (22) 🐣 Hot Topic Early Bird 🔥 Unstoppable · Bronze
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Research topics
Deep Learning
(5)
Machine Learning
(5)
Artificial Intelligence
(4)
Natural Language Processing
(3)
Architectures
(3)
Core AI
(3)
Optimization & Theory · Machine Learning
(3)
Core Methods
(2)
Learning Types · Deep Learning
(2)
Optimization & Theory · Deep Learning
(2)
Application Areas
(1)
Applications
(1)
Generation
(1)
Learning Paradigms
(1)
Learning Types · Machine Learning
(1)
Keywords
representation learning
(2)
large language model
(2)
transformer model
(2)
syntactic parsing
(2)
sentence embedding
(2)
graph neural network
(2)
model selection
(1)
few-shot learning
(1)
contrastive learning
(1)
token selection
(1)
self-supervised learning
(1)
joint learning
(1)
iterative refinement
(1)
multi-view learning
(1)
benchmark evaluation
(1)
gradient approximation
(1)
low-rank adaptation
(1)
hyperparameter optimization
(1)
node classification
(1)
memory efficiency
(1)
Papers
Code to Think, Think to Code: A Survey on Code-Enhanced Reasoning and Reasoning-Driven Code Intelligence in LLMs
EMNLP 2025
DocAgent: A Multi-Agent System for Automated Code Documentation Generation
ACL 2025
Forward Learning of Graph Neural Networks
ICLR 2024
Memory-Efficient Fine-Tuning of Transformers via Token Selection
EMNLP 2024
GLEMOS: Benchmark for Instantaneous Graph Learning Model Selection
NeurIPS 2023
Unifying Parsing and Tree-Structured Models for Generating Sentence Semantic Representations
NAACL 2022
Contrasting distinct structured views to learn sentence embeddings
EACL 2021
How Many Layers and Why? An Analysis of the Model Depth in Transformers
ACL 2021