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

Quality Management of Machine Learning Systems
- - Peter Santhanam
- 2020
- AAAI 2020
HCAI@NeurIPS 2022, Human Centered AI
- - Michael Muller
  - Plamen Agelov
  - et al.
- 2022
- NeurIPS 2022
1st Workshop on Data Integrity and Secure Cloud Computing (DISCC-2022)
- - Pradip Bose
  - Jennifer Dworak
  - et al.
- 2022
- MICRO 2022
Optimization with Constraint Learning
- - S. Ilker Birbil
  - Donato Maragno
  - et al.
- 2023
- AAAI 2023
Your Fairness May Vary: Pretrained Language Model Fairness in Toxic Text Classification
- - Ioana Baldini Soares
  - Dennis Wei
  - et al.
- 2022
- ACL 2022
The Good, the Bad, and the Outliers: A Testing Framework for Decision Optimization Model Learning
- - Orit Davidovich
  - Gheorghe-Teodor Bercea
  - et al.
- 2022
- KDD 2022
LaSO: Label-Set Operations networks for multi-label few-shot learning
- - Amit Alfassy
  - Leonid Karlinsky
  - et al.
- 2019
- CVPR 2019
Exploring Vulnerabilities in LLMs: A Red Teaming Approach to Evaluate Social Bias
- - Yuya Jeremy Ong
  - Jay Pankaj Gala
  - et al.
- 2024
- IEEE CISOSE 2024
DetAIL: A Tool to Automatically Detect and Analyze Drift In Language
- - Nishtha Madaan
  - Adithya Manjunatha
  - et al.
- 2023
- IAAI 2023
A monitoring framework for deployed machine learning models with supply chain examples
- - Bradley Eck
  - Duygu Kabakci-Zorlu
  - et al.
- 2022
- Big Data 2022