A post-hoc certification framework forparse autoencoders that provides a practical way to determine whether an SAE representation preserves enough of a frozen LM's predictive behavior to support certification of the original model.
Memes combine visual content and short textual cues to convey humor, sarcasm, and social commentary, but they can also encode offensive or harmful messages targeting individuals and social groups. While recent multimodal systems have improved offensive meme detection, many of them operate as opaque classifiers and do n...
Dibyanayan Bandyopadhyay, Baban Gain, Samrat Mukherjee et al.· IEEE Access· 0 citations
Machine translation (MT) for Indian languages remains constrained by the limited availability of high-quality, Indic-centric parallel corpora and evaluation benchmarks. Existing multilingual resources are largely constructed from English-pivot content and often fail to capture the linguistic diversity, cultural complex...
Kshetrimayum Boynao Singh, Nitin Kumar Mishra, P. Dutta et al.· 0 citations
It is suggested that multilingual merging failures arise from target-side geometric misalignment within shared computational units, challenging the assumptions underlying standard weight-space merging for multilingual translation.
Baban Gain, A. Ekbal, T. Singh· arXiv.org· 2 citations
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