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Ying-Xin Jia

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#artificial intelligence Preprint Oct 2026

Give the Model a Finger: Developmentally Aligned Evaluation of Counting in Vision-Language Models

Vision-language models (VLMs) are exact on small sets and drift into estimation on larger ones, a profile reminiscent of children before they master counting. Children cross the barrier with epistemic actions: pointing at each item while reciting number words, moving counted items aside, partitioning the array. We give...

Ying-Xin Jia, Hui Geng, Wen-Xin Yang et al. · 0 citations

#artificial intelligence Preprint Oct 2026

When Does Experience Memory Help Closed-Loop LLM Driving Agents? A Controlled Evaluation with Resampled Warmup Pools, Token-Matched Fillers, and Audited Baselines

This work treats the warmup pool as a resampled random factor and adds token-matched irrelevant-filler controls, oracle-certified diagnostics, caution-pricing metrics, and quantified audits of the baseline ports to answer the question when does experience memory help a closed-loop LLM driving agent.

Ying-Xin Jia, Xuan-Yi Li · 0 citations