Nicolas Chesneau
5 papers · 2023–2025 · 4 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓
π
Interdisciplinary Bridge
π§
Keyword Pioneer
π
Conference Polyglot
(4)
π
Cross-Pollinator
(8)
πΊοΈ
Taxonomy Completionist
(12)
Conferences
EMNLP (2)
ACL (1)
ICML (1)
IJCAI (1)
Top co-authors
Keywords
text classification
(2)
causal inference
(1)
in-context learning
(1)
prompt engineering
(1)
feature importance
(1)
model interpretability
(1)
causal structure
(1)
gradient computation
(1)
structural causal model
(1)
counterfactual explanation
(1)
deep generative model
(1)
concept bottleneck model
(1)
observational datum
(1)
theoretical guarantee
(1)
deep structural causal model
(1)
counterfactual query
(1)
token modification
(1)
rationale generation
(1)
small language model
(1)
post hoc explanation
(1)
Papers
Towards Achieving Concept Completeness for Textual Concept Bottleneck Models
EMNLP 2025
Position: Causal Machine Learning Requires Rigorous Synthetic Experiments for Broader Adoption
ICML 2025
Self-AMPLIFY: Improving Small Language Models with Self Post Hoc Explanations
EMNLP 2024
Learning Structural Causal Models through Deep Generative Models: Methods, Guarantees, and Challenges
IJCAI 2024
Enhancing textual counterfactual explanation intelligibility through Counterfactual Feature Importance
ACL 2023