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arXiv AI By Chenyu Zhou, Qiliang Jiang, Boguang Pan

Dense Coordinate-List Fine-Tuning Induces a Controllable Interference Surface in Vision-Language Models

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arXiv:2606. 14507v1 Announce Type: new Abstract: Fine-tuning vision-language models to emit dense coordinate lists improves visual grounding but also changes how models serialize, repeat, and terminate structured outputs.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.

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