Decoding Black-Box Text Classifiers: Introducing Label Forensics
Published:Dec 1, 2025 10:39
•1 min read
•ArXiv
Analysis
This research explores the interpretability of black-box text classifiers, which is crucial for understanding and trusting AI systems. The concept of "label forensics" offers a novel approach to dissecting the decision-making processes within these complex models.
Key Takeaways
- •Investigates the internal workings of black-box text classifiers.
- •Proposes a new method called "label forensics."
- •Aims to enhance the interpretability of AI text classification models.
Reference
“The paper focuses on interpreting hard labels in black-box text classifiers.”