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This work introduces PULSE (Paired Utility Localization over Sparse Encodings), an SAE-based framework for identifying model-internal features associated with demonstration utility and using them for demonstration selection, and PULSE-Retriever, which converts its magnitude into a feature-relevance mask for scalable po...
LIFT (Language-side reasonIng Facilitation and Transfer), a lightweight vector-intervention method that transfers reasoning capability from the base LLM to the VLM without retraining the backbone, and shows that LLM-derived vectors consistently outperform VLM-derived vectors, confirming that the base LLM is a more effe...
A comprehensive external and internal investigation of multimodal in-context learning on the image captioning task is conducted, revealing both how ICEs configuration strategies impact model performance through external experiments and characteristic typical patterns through internal inspection.
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