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20222026
most citedEvaluating the Explainers: Black-Box Explainable Machine Learning for Student Success Prediction in MOOCs

6 citations · 6 across the 3 of their papers we have counts for

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2 papers · 1 filter

cs.CV2026

Language Guidance for Supervised Vision Training: An Empirical Study of Generalization

Shruthi Gowda, Nikita Jain, Elahe Arani +1

Deep neural networks have achieved remarkable success on vision benchmarks, yet they continue to struggle with many generalization challenges. Supervised vision training relies on…

cs.CL2026

RAT-Bench: A Comprehensive Benchmark for Text Anonymization

Nataša Krčo, Zexi Yao, Matthieu Meeus +1

Data containing personal information is increasingly used to train, fine-tune, or query Large Language Models (LLMs). Text is typically scrubbed of identifying information prior to…