AI RESEARCH
Wasserstein Equilibrium Decoding for Reliable Medical Visual Question Answering
arXiv CS.CV
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ArXi:2605.18313v1 Announce Type: new Small vision-language models (2-8B) are well-suited for clin- ical deployment due to privacy constraints, limited connectivity, and low-latency requirements favouring on-device or on-premise inference. However, their limited capacity exacerbates the generation of plausible but incorrect outputs. We extend game-theoretic decoding, previously restricted to text-only, closed-ended NLP tasks, to vision-language mod- els for open-ended Medical VQA. We