A Novel Metric for Measuring the Robustness of Large Language Models in Non-adversarial Scenarios
- Samuel Ackerman
- Ella Rabinovich
- et al.
- 2024
- EMNLP 2024
Publications
This is our catalog of publications authored by IBM researchers, in collaboration with the global research community. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.
Date
Featured collections
Popular topics
47 results for AI Testing
Navigating the Modern Evaluation Landscape: Considerations in Benchmarks and Frameworks for Large Language Models (LLMs)
- Leshem Choshen
- Ariel Gera
- et al.
- 2024
- LREC-COLING 2024
Deploying automated ticket router across the enterprise
- Samuel Ackerman
- Lincoln Alexander
- et al.
- 2023
- AI Magazine
Time Series Anomaly Detection Toolkit for Data Scientist
- Dhaval Patel
- Dzung Phan
- et al.
- 2022
- ICDE 2022
High-quality conversational systems
- Samuel Ackerman
- Ateret Anaby-Tavor
- et al.
- 2022
- arXiv
Using sequential drift detection to test the API economy
- Samuel Ackerman
- Parijat Dube
- et al.
- 2021
- arXiv
Workflow Provenance in the Lifecycle of Scientific Machine Learning
- Renan Francisco Santos Souza
- Leonardo Guerreiro Azevedo
- et al.
- 2021
- CCPE