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IEEE/ICACT20260070 Question.1 Questioner: Lee19711936516@163.com 2026-02-09 오후 2:50:18	IEEE/ICACT20260070 Answer.1 Answer by Auhor d11207806@mail.ntust.edu.tw 2026-02-09 오후 2:50:18
What are the core advantages of the "AI Judges" mechanism proposed in the GIDLMM framework over the Self Consistency method in generating image text descriptions? Why can we improve efficiency while ensuring description quality?	Firstly, thank you for the question. For the core advantage of the "AI Judges" mechanism lies in its ability to select the optimal image description within a single interaction, avoiding the high computational cost and latency associated with the multi-round queries required by the Self-Consistency method. we employ specialized virtual judges to evaluate descriptions based on specific criteria, such as lighting or texture, rather than simple majority voting, By using this approach its improves efficiency while ensuring higher quality. Furthermore, empirical results show that Self-Consistency tends to generate excessive text that breaches CLIPs 77-token input limit, causing performance degradation; the AI Judges mechanism mitigates this, and help to achie higher accuracy (89.25%) and better stability with significantly fewer resources .

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