Marco Tulio Ribeiro
15 papers · 2018–2023 · 9 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (32) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π
Keyword Champion
(2)
π§
Keyword Pioneer
ποΈ
Keyword Collector
(69)
π
Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
β
The Questioner
(2)
Top co-authors
Research topics
Machine Learning
(13)
Artificial Intelligence
(10)
Core AI
(10)
Application Areas
(9)
Natural Language Processing
(8)
Applications Β· Natural Language Processing
(8)
Learning Types Β· Machine Learning
(7)
Deep Learning
(6)
Optimization & Theory
(3)
Core Methods
(2)
Learning Types Β· Deep Learning
(2)
Resources & Methods
(2)
Computer Vision
(1)
Interdisciplinary
(1)
Applications Β· Computer Vision
(1)
Keywords
sentiment analysis
(5)
data augmentation
(3)
natural language processing
(3)
nlp model
(3)
model evaluation
(3)
model interpretability
(2)
feature attribution
(2)
large language model
(2)
behavioral testing
(2)
language model
(2)
model explanation
(2)
model understanding
(2)
model editing
(1)
natural language inference
(1)
interpretable machine learning
(1)
attention mechanism
(1)
local explanation
(1)
question answering
(1)
visual question answering
(1)
software engineering
(1)
Papers
Adaptive Testing of Computer Vision Models
ICCV 2023
Collaborative Alignment of NLP Models
NeurIPS 2023
Editing models with task arithmetic
ICLR 2023
Targeted Data Generation: Finding and Fixing Model Weaknesses
ACL 2023
Adaptive Testing and Debugging of NLP Models
ACL 2022
Do Feature Attribution Methods Correctly Attribute Features?
AAAI 2022
ExSum: From Local Explanations to Model Understanding
NAACL 2022
Fixing Model Bugs with Natural Language Patches
EMNLP 2022
Beyond Accuracy: Behavioral Testing of NLP Models with Checklist (Extended Abstract)
IJCAI 2021
Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and Improving Models
ACL 2021
Beyond Accuracy: Behavioral Testing of NLP Models with CheckList
ACL 2020
SQuINTing at VQA Models: Introspecting VQA Models With Sub-Questions
CVPR 2020
Are Red Roses Red? Evaluating Consistency of Question-Answering Models
ACL 2019
Errudite: Scalable, Reproducible, and Testable Error Analysis
ACL 2019
Semantically Equivalent Adversarial Rules for Debugging NLP models
ACL 2018