Explainability for Natural Language Processing
- Marina Danilevsky
- Shipi Dhanorkar
- et al.
- 2021
- KDD 2021
Publications
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722 results for Trustworthy AI
Comparison of Methods to Reduce Bias from Clinical Prediction Models of Postpartum Depression
- Yoonyoung Park
- Jianying Hu
- et al.
- 2021
- JAMA network open
Cryptomining Detection in Container Clouds Using System Calls and Explainable Machine Learning
- Rupesh Raj Karn
- Prabhakar Kudva
- et al.
- 2021
- IEEE TPDS
Privacy-Aware Human Activity Recognition from a Wearable Camera
- Girmaw Abebe Tadesse
- Oliver Bent
- et al.
- 2020
- IEEE SPM
Publication Popularity Modeling via Adversarial Learning of Profile-Specific Dynamic Process
- Shuai Xiao
- Junchi Yan
- et al.
- 2018
- IEEE Access
How well can a large language model explain business processes as perceived by users?
- Dirk Fahland
- Fabiana Fournier
- et al.
- 2025
- DKE
Sequential uncertainty quantification with contextual tensors for social targeting
- 2024
- KAIS
Future Workload and Cloud Resource Usage: Insights from an Interpretable Forecasting Model
- 2024
- Big Data 2024
Aligners: Decoupling LLMs and Alignment
- Mikhail Yurochkin
- Lilian Ngweta
- et al.
- 2024
- EMNLP 2024
Language Models in Dialogue: Conversational Maxims for Human-AI Interactions
- 2024
- EMNLP 2024