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Fudan University
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ArguLens achieves 82.6% accuracy in essay classification while providing interpretable feedback, challenging the status quo of opaque scoring systems.
Reliably erase broad concepts like "sexual" or "violent" from diffusion models by using learned concept prototypes as negative guidance, outperforming existing methods.
