27 citations · 33 across the 9 of their papers we have counts for
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cs.AI2026
The Illusion of AI Expertise Under Uncertainty: A Probabilistic Paradigm to Interpret Results Under Ground Truth Variation
Aparna Elangovan, Lei Xu, Mahsa Elyasi +8
Benchmarking the capabilities of AI systems, including Large Language Models (LLMs) and Vision Models, typically ignores the impact of uncertainty in the underlying ground truth an…
cs.AI2023
Effects of Human Adversarial and Affable Samples on BERT Generalization
Aparna Elangovan, Jiayuan He, Yuan Li +1
BERT-based models have had strong performance on leaderboards, yet have been demonstrably worse in real-world settings requiring generalization. Limited quantities of training data…