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20202026
most citedConSiDERS-The-Human Evaluation Framework: Rethinking Human Evaluation for Generative Large Language Models

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…