Author

Balaraman Ravindran

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#explainable ai Jul 2026

KANEx: Translating Kolmogorov-Arnold Networks' Interpretability to Medical Explainability

KANEx is introduced, the first ever framework that leverages the symbolic transparency of KANs to ground VLM reasoning, and suggests that grounding linguistic explanations and visual attributions in mathematically interpretable units is a necessary step toward trustworthy medical AI.

Krithi Shailya, Ananya Lakshmi Ravi, V. VenkatanathanK. et al. · arXiv.org · 0 citations

#artificial intelligence Preprint Aug 2026

Judging LLM-as-a-Judge: Concerning Rubric Artifacts in LLM-based Automated Text Generation Evaluation

LLM-as-a-Judge pipelines are increasingly used to evaluate AI-generated text, based on the assumption that judgments arise from reasoning over candidate responses with respect to a rubric. We show that this assumption warrants further scrutiny. Classifiers trained only on rubric text, without access to any evaluated re...

Anshul Bagaria, Sowmya S. Sundaram, Gokul S. Krishnan et al. · 3 citations · ⚡1

Jul 2026

Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability

This work introduces Pluralis v0.1, a novel multimodal, multi-regional, and multilingual dataset built from a culture-first perspective and calls upon the research community to utilize this foundation to advance the science of multilingual, multicultural evaluation to better support AI cultural alignment globally.

Alicia Parrish, Rajat C. Shinde, Sanket Badhe et al. · arXiv.org · 0 citations