Author

Po-Yi Lu

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#machine learning Preprint Sep 2026

TwinICL: Diagnosing Multimodal In-Context Learning through Paired Counterfactuals

In-context learning (ICL) enables models to infer tasks from demonstrations, but existing benchmarks generally lack matched text and image versions needed to compare ICL performance across modalities. We introduce TwinICL, a procedurally generated benchmark providing such pairs for controlled comparison. Across six ope...

Zi-Han Xue, Po-Yi Lu, S. Honcharenko et al. · 0 citations

#natural language process... Nov 2025

PEPPER: Perception-Guided Perturbation for Robust Backdoor Defense in Text-to-Image Diffusion Models

PEPPER (PErcePtion-Guided PERturbation), a backdoor defense that rewrites the caption into a semantically distant yet visually similar caption while adding unobtrusive elements, achieves enhanced robustness without training or access to model weights.

Oscar Chew, Po-Yi Lu, Jayden Lin et al. · arXiv.org · 0 citations