Study finds Gemini 3.1 Flash-Lite deficit recurs on fresh data under historical configuration
A new arXiv paper examines how behavioural evaluations of hosted language models can vary due to differences in the service, measurement instrument, or both. The study uses Regent Chess, a sequential environment with a hidden, mutable state, to evaluate model beliefs against ground truth at action time. It finds that a previously reported deficit for Gemini 3.1 Flash-Lite recurs on fresh games…
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Key points
- Gemini 3.1 Flash-Lite deficit recurs on fresh data: +0.0530, 95% CI [+0.0329,+0.0714]
- Study separates replication, measurement sensitivity, and persistence in model evaluation
- Findings motivate explicit indexing of hosted-model claims by identifier, serving period, instrument, and configuration
Read the original at arXiv cs.AI · by Bhushan Kashinath Joshi primary sourceOpen source ↗
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Gemini 3.1 Flash-LiteGemini 3.7
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