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Chalmers University of Technology and University of Gothenburg
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Software engineering experiments can achieve greater real-world relevance by borrowing transportability methods from causal inference to bridge the gap between controlled lab settings and the messy reality of software development.
Adversarial training unlocks domain-invariant prompts for CLIP, boosting zero-shot generalization beyond standard prompt tuning.
