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Oana-Maria Camburu

19 papers · 2018–2025 · 7 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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+10 more ↓ πŸ—ΊοΈ Taxonomy Completionist (43) πŸƒ Academic Marathon Β· Sprint 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
πŸ”¬ Deep Specialist (10) 🀝 Dynamic Duo (13) 🧬 Topic Evolution 🧭 Keyword Pioneer πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (95) ❓ The Questioner (2) πŸ”₯ Unstoppable Β· Bronze πŸ’Ž Century Club Β· Bronze ⚑ Prolific Year Β· Productive

Venues

ACL (7) EMNLP (5) AAAI (3) EACL (1) ICCV (1) NAACL (1) NeurIPS (1)

Top co-authors

Thomas Lukasiewicz (13) Vid Kocijan (6) Pasquale Minervini (4) Yordan Yordanov (4) Phil Blunsom (3) Ana-Maria Cretu (2) Maxime Kayser (2) Cornelius Emde (2) Davide Romano (1) Bogdan Bercean (1)

Research topics

Artificial Intelligence (16) Natural Language Processing (14) Core AI (14) Machine Learning (13) Learning Types Β· Machine Learning (11) Deep Learning (6) Applications (6) Learning Types Β· Deep Learning (5) Generation (4) Resources & Methods (4) Understanding (4) Application Areas (3) Core Methods (2) Learning Paradigms (2) Optimization & Theory (2)

Keywords

natural language explanation (7) coreference resolution (4) natural language inference (4) language model (3) large language model (3) model interpretability (3) winograd schema (2) few-shot learning (2) pronoun disambiguation (2) gender bia (2) commonsense reasoning (2) pronoun resolution (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 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 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 The Probabilities Also Matter: A More Faithful Metric for Faithfulness of Free-Text Explanations in Large Language Models ACL 2024 Using Natural Language Explanations to Improve Robustness of In-context Learning ACL 2024 Counter-GAP: Counterfactual Bias Evaluation through Gendered Ambiguous Pronouns EACL 2023 Faithfulness Tests for Natural Language Explanations ACL 2023 KNOW How to Make Up Your Mind! Adversarially Detecting and Alleviating Inconsistencies in 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 Does the Objective Matter? Comparing Training Objectives for Pronoun Resolution EMNLP 2020 Make Up Your Mind! Adversarial Generation of Inconsistent Natural Language Explanations ACL 2020 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 NeurIPS 2018