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#natural language process... Preprint Sep 2026

Deep and shallow biases in language models

A bias depth score is introduced that measures both how strongly a model prefers its top answer under direct prompting and whether that answer survives scenario reframing and shows that Deep biases are consistently harder to remove than Shallow biases.

A. Vo, V. Dang, Khai-Nguyen Nguyen et al. · 0 citations

SketchVLM: Vision language models can annotate images to explain thoughts and guide users

SketchVLM is presented, a training-free, model-agnostic framework that enables VLMs to produce non-destructive, editable SVG overlays on the input image to visually explain their answers, and finds that single-turn generation already achieves strong accuracy and annotation quality, and multi-turn generation opens up fu...

Brandon Collins, Logan Bolton, Hung Huy Nguyen et al. · 0 citations

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