← Search

Prajna Soni

2 accepted papers

2026

When AI Benchmarks Plateau: A Systematic Study of Benchmark Saturation

ICML 2026poster

Artificial Intelligence (AI) benchmarks play a central role in measuring progress in model development and guiding deployment decisions. However, many benchmarks quickly become saturated, meaning that they can no longer differentiate between the best-performing models, diminishing their long-term va…

Cited by 0SourceScholar
2026

Who Evaluates AI's Social Impacts? Mapping Coverage and Gaps in First and Third Party Evaluations

ICML 2026poster

Foundation models are increasingly central to high-stakes AI systems, and governance frameworks now depend on evaluations to assess their risks and capabilities. Although general capability evaluations are widespread, social impact assessments covering bias, fairness, privacy, environmental costs, a…

Cited by 0SourceScholar