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cs.LG2026
Demystifying Variance in Circuit Discovery of LLMs
Frank Zhengqing Wu, Francesco Tonin, Volkan Cevher
Circuit discovery is a key technique in mechanistic interpretability to pinpoint the model components that are crucial for performing a given task. Although the current state-of-th…
cs.LG2026
MaD-Mix: Multi-Modal Data Mixtures via Latent Space Coupling for Vision-Language Model Training
Wanyun Xie, Francesco Tonin, Volkan Cevher
Vision-Language Models (VLMs) are typically trained on a diverse set of multi-modal domains, yet current practices rely on costly manual tuning. We propose MaD-Mix, a principled an…