AI RESEARCH
EcoAlign: An Economically Rational Framework for Efficient LVLM Alignment
arXiv CS.AI
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ArXi:2511.11301v2 Announce Type: replace Large Vision-Language Models (LVLMs) exhibit powerful reasoning capabilities but suffer sophisticated jailbreak vulnerabilities. Fundamentally, aligning LVLMs is not just a safety challenge but a problem of economic efficiency. Current alignment methods struggle with the trade-off between safety, utility, and operational costs. Critically, a focus solely on final outputs (process-blindness) wastes significant computational budget on unsafe deliberation.