The authors first conducted systematic preliminary analyses on verification capability and prompt design using several VLM backbones and multimodal benchmarks.
Multi-perspective self-verification improves vision-language model answer reliability
The MOTIVE framework aggregates complementary verification signals and uses a learned reliability score to decide when to accept or revise answers, outperforming existing baselines.
Big Tech
Ziquan Zhu · Hanruo Zhu · Si-Yuan Lu · Morris Yu-Chao Huang · Yicheng Lin · Wei Han · +7 more
University of Leicester · Nanjing University of Posts and Telecommunications · University of North Carolina at Chapel Hill · Amazon · University of Exeter
Research Digest··3 min read
Zhu et al.
Why this paper
From Amazon and 7 others
In one line
Multi-perspective self-verification with reliability-guided rethinking improves VLM answer reliability without external judges.
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