Nicolas Chesneau
5 papers · 2023–2025 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(14)
Top co-authors
Research topics
Artificial Intelligence
(5)
Core AI
(5)
Machine Learning
(4)
Deep Learning
(2)
Natural Language Processing
(2)
Learning Types · Machine Learning
(2)
Knowledge & Reasoning
(1)
Application Areas
(1)
Applications
(1)
Core Methods
(1)
Generation
(1)
Learning Types · Deep Learning
(1)
Models
(1)
Optimization & Theory
(1)
Reasoning
(1)
Keywords
text classification
(2)
causal inference
(2)
in-context learning
(1)
prompt engineering
(1)
feature importance
(1)
model interpretability
(1)
causal structure
(1)
gradient computation
(1)
empirical evaluation
(1)
structural causal model
(1)
counterfactual explanation
(1)
deep generative model
(1)
concept bottleneck model
(1)
observational data
(1)
theoretical guarantee
(1)
post-hoc explanation
(1)
deep structural causal model
(1)
counterfactual query
(1)
token modification
(1)
rationale generation
(1)
Papers
Position: Causal Machine Learning Requires Rigorous Synthetic Experiments for Broader Adoption
ICML 2025
Towards Achieving Concept Completeness for Textual Concept Bottleneck Models
EMNLP 2025
Learning Structural Causal Models through Deep Generative Models: Methods, Guarantees, and Challenges
IJCAI 2024
Self-AMPLIFY: Improving Small Language Models with Self Post Hoc Explanations
EMNLP 2024
Enhancing textual counterfactual explanation intelligibility through Counterfactual Feature Importance
ACL 2023