Advancing the Robustness of Large Language Models through Self-Denoised Smoothing
- Jiabao Ji
- Bairu Hou
- et al.
- 2024
- NAACL 2024
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Bridging the Gap: Leveraging Data Science to Equip Domain Experts with the Tools to Address Challenges in Maternal, Newborn, and Child Health
- Girmaw Abebe Tadesse
- William Ogallo
- et al.
- 2024
- npj Women's Health
A Physics Inspired Approach to the Understanding of Molecular Representations and Models
- Luke Dicks
- David Graff
- et al.
- 2024
- MSDE
Formulation Graphs for Mapping Structure-Composition of Battery Electrolytes to Device Performance
- 2023
- J. Chem. Inf. Model.
AI Explainability 360 Toolkit for Time-Series and Industrial Use Cases
- Giridhar Ganapavarapu
- Sumanta Mukherjee
- et al.
- 2023
- KDD 2023
Incorporating Signal Awareness in Source Code Modeling: An Application to Vulnerability Detection
- Sahil Suneja
- Yufan Zhuang
- et al.
- 2023
- ACM TOSEM
A historical perspective of biomedical explainable AI research
- Luca Malinverno
- Vesna Barros
- et al.
- 2023
- Patterns
AI for Climate Impacts: Applications in Flood Risk
- Anne Jones
- Julian Kuehnert
- et al.
- 2023
- NPJ Clim. Atmos. Sci.
Remarks on Utility in Repeated Bets
- Nimrod Megiddo
- 2023
- arXiv
Towards an Accountable and Reproducible Federated Learning: A FactSheets Approach
- Nathalie Baracaldo Angel
- Ali Anwar
- et al.
- 2022
- arXiv