Oana-Maria Camburu
20 papers · 2018–2025 · 8 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (7) 🌍 Conference Polyglot (8) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (10)
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Renaissance Researcher
(6)
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Conference Polyglot
(8)
🏃
Academic Marathon
(7)
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Dynamic Duo
(14)
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Deep Specialist
(10)
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Topic Evolution
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Keyword Collector
(97)
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Trend Setter
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The Questioner
(2)
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Prolific Year
(6)
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Unstoppable
(8)
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Century Club
(20)
Conferences
ACL (7)
EMNLP (5)
AAAI (3)
EACL (1)
ICCV (1)
IJCNLP (1)
NAACL (1)
NIPS (1)
Top co-authors
Keywords
natural language explanation
(7)
coreference resolution
(5)
language model
(4)
natural language inference
(4)
model interpretability
(3)
pronoun resolution
(3)
pronoun disambiguation
(3)
large language model
(3)
winograd schema
(2)
few-shot learning
(2)
gender bia
(2)
commonsense reasoning
(2)
saliency map
(2)
explanation generation
(2)
adversarial learning
(2)
explainable ai
(2)
adversarial attack
(2)
prompt engineering
(1)
in-context learning
(1)
transfer learning
(1)
Papers
iLLuMinaTE: An LLM-XAI Framework Leveraging Social Science Explanation Theories Towards Actionable Student Performance Feedback
AAAI 2025
Identifying Linear Relational Concepts in Large Language Models
NAACL 2024
SparseFit: Few-shot Prompting with Sparse Fine-tuning for Jointly Generating Predictions and Natural Language Explanations
ACL 2024
Using Natural Language Explanations to Improve Robustness of In-context Learning
ACL 2024
The Probabilities Also Matter: A More Faithful Metric for Faithfulness of Free-Text Explanations in Large Language Models
ACL 2024
Atomic Inference for NLI with Generated Facts as Atoms
EMNLP 2024
Fool Me Once? Contrasting Textual and Visual Explanations in a Clinical Decision-Support Setting
EMNLP 2024
KNOW How to Make Up Your Mind! Adversarially Detecting and Alleviating Inconsistencies in Natural Language Explanations
ACL 2023
Counter-GAP: Counterfactual Bias Evaluation through Gendered Ambiguous Pronouns
EACL 2023
Faithfulness Tests for Natural Language Explanations
ACL 2023
Few-Shot Out-of-Domain Transfer Learning of Natural Language Explanations in a Label-Abundant Setup
EMNLP 2022
E-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks
ICCV 2021
Learning from the Best: Rationalizing Predictions by Adversarial Information Calibration
AAAI 2021
The Gap on Gap: Tackling the Problem of Differing Data Distributions in Bias-Measuring Datasets
AAAI 2021
Make Up Your Mind! Adversarial Generation of Inconsistent Natural Language Explanations
ACL 2020
Does the Objective Matter? Comparing Training Objectives for Pronoun Resolution
EMNLP 2020
WikiCREM: A Large Unsupervised Corpus for Coreference Resolution
IJCNLP 2019
A Surprisingly Robust Trick for the Winograd Schema Challenge
ACL 2019
WikiCREM: A Large Unsupervised Corpus for Coreference Resolution
EMNLP 2019
e-SNLI: Natural Language Inference with Natural Language Explanations
NIPS 2018