Camburu, Oana-Maria

7 publications

AAAI 2025 iLLuMinaTE: An LLM-XAI Framework Leveraging Social Science Explanation Theories Towards Actionable Student Performance Feedback Vinitra Swamy, Davide Romano, Bhargav Srinivasa Desikan, Oana-Maria Camburu, Tanja Käser

NeurIPSW 2024 Enhancing the Generation of Predictions and Natural Language Explanations via Sparse Few-Shot Fine-Tuning and Prompting Jesus Solano, Mardhiyah Sanni, Oana-Maria Camburu, Pasquale Minervini

ICCV 2021 E-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks Maxime Kayser, Oana-Maria Camburu, Leonard Salewski, Cornelius Emde, Virginie Do, Zeynep Akata, Thomas Lukasiewicz

NeurIPSW 2021 Few-Shot Out-of-Domain Transfer Learning of Natural Language Explanations Yordan Yordanov, Vid Kocijan, Thomas Lukasiewicz, Oana-Maria Camburu

AAAI 2021 Learning from the Best: Rationalizing Predictions by Adversarial Information Calibration Lei Sha, Oana-Maria Camburu, Thomas Lukasiewicz

AAAI 2021 The Gap on Gap: Tackling the Problem of Differing Data Distributions in Bias-Measuring Datasets Vid Kocijan, Oana-Maria Camburu, Thomas Lukasiewicz

NeurIPS 2018 E-SNLI: Natural Language Inference with Natural Language Explanations Oana-Maria Camburu, Tim Rocktäschel, Thomas Lukasiewicz, Phil Blunsom