Samuel Carton
9 papers · 2018–2025 · 5 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (20) 🐣 Hot Topic Early Bird
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Topic Evolution
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Unstoppable · Bronze
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Keyword Collector
(52)
Top co-authors
Research topics
Machine Learning
(7)
Natural Language Processing
(6)
Artificial Intelligence
(5)
Core AI
(5)
Applications
(4)
Learning Types · Machine Learning
(4)
Optimization & Theory
(3)
Application Areas
(2)
Generation
(2)
Deep Learning
(1)
Core Methods
(1)
Learning Paradigms
(1)
Learning Types · Deep Learning
(1)
Resources & Methods
(1)
Keywords
text classification
(2)
human rationale
(2)
few-shot learning
(1)
text complexity
(1)
model robustness
(1)
weakly supervised learning
(1)
natural language generation
(1)
loss function
(1)
materials science
(1)
model behavior
(1)
weak supervision
(1)
text simplification
(1)
neural network model
(1)
adversarial attack
(1)
model training
(1)
information extraction
(1)
model explanation
(1)
evaluation metric
(1)
label accuracy
(1)
multi-task learning
(1)
Papers
Retrieving Versus Understanding Extractive Evidence in Few-Shot Learning
AAAI 2025
Toward Reliable Ad-hoc Scientific Information Extraction: A Case Study on Two Materials Dataset
ACL 2024
Learning to Ignore Adversarial Attacks
EACL 2023
Human-Centered Evaluation of Explanations
NAACL 2022
What to Learn, and How: Toward Effective Learning from Rationales
ACL 2022
Explainable Prediction of Text Complexity: The Missing Preliminaries for Text Simplification
ACL 2021
Evaluating and Characterizing Human Rationales
EMNLP 2020
Judge the Judges: A Large-Scale Evaluation Study of Neural Language Models for Online Review Generation
EMNLP 2019
Extractive Adversarial Networks: High-Recall Explanations for Identifying Personal Attacks in Social Media Posts
EMNLP 2018