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TraceICL: Thread-Resolved Demonstration Curation with Consistency Calibration for Robust Multimodal In-Context Learning
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multimodalin-context learningdemonstration curation
2610.12516
Builder Relevance
2h ago70%
Abstract
The paper presents a framework called AVA that improves the robustness of interleaved multimodal in-context learning by organizing the demonstration pipeline into three stages.
Reality Card
Core Claim
AVA improves performance on vision-language benchmarks by an average of +1.7 points, with gains of up to +2.4 points on VizWiz, while maintaining robustness against noisy demonstrations.
Method / Result
+1.7 points average improvement on five vision-language benchmarks with interleaved 4-shot prompts.
Limitations
No specific authors or detailed methodology provided, which may hinder reproducibility.
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