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
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.
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47 results for AI Testing
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
A Novel Metric for Measuring the Robustness of Large Language Models in Non-adversarial Scenarios
- Samuel Ackerman
- Ella Rabinovich
- et al.
- 2024
- EMNLP 2024