Distilling Event Sequence Knowledge From Large Language Models
- Somin Wadhwa
- Oktie Hassanzadeh
- et al.
- 2024
- ISWC 2024
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137 results for Explainable AI
Exploring Vulnerabilities in LLMs: A Red Teaming Approach to Evaluate Social Bias
- Yuya Jeremy Ong
- Jay Pankaj Gala
- et al.
- 2024
- IEEE CISOSE 2024
AUTOLYCUS: Exploiting Explainable Artificial Intelligence (XAI) for Model Extraction Attacks against Interpretable Models
- Abdullah Caglar Oksuz
- Anisa Halimi
- et al.
- 2024
- PETS 2024
Geospatial Sampling by Maximizing Information Entropy
- 2024
- IGARSS 2024
Paraphrase and Solve: Exploring and Exploiting the Impact of Surface Form on Mathematical Reasoning in Large Language Models
- Yue Zhou
- Yada Zhu
- et al.
- 2024
- NAACL 2024
MiMICRI: Towards Domain-centered Counterfactual Explanations of Cardiovascular Image Classification Models
- Grace Guo
- Lifu Deng
- et al.
- 2024
- FAccT 2024
Manifold-Aligned Counterfactual Explanations for Neural Networks
- Georgia Perakis
- Wei Sun
- et al.
- 2024
- AISTATS 2024
Learning Granger Causality from Instance-wise Self-attentive Hawkes Processes
- Dongxia Wu
- Ide-San Ide
- et al.
- 2024
- AISTATS 2024
Satellite Image Analysis by Pre-training Network
- Daiki Kimura
- Tatsuya Ishikawa
- et al.
- 2024
- IPSJ 2024
PROMINET: Prototype-based Multi-View Network for Interpretable Email Response Prediction
- Yuqing Wang
- Prashanth Vijayaraghavan
- et al.
- 2023
- EMNLP 2023