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cs.CL2026
FastDiSS: Few-step Match Many-step Diffusion Language Model on Sequence-to-Sequence Generation--Full Version
Dat Nguyen-Cong, Tung Kieu, Hoang Thanh-Tung
Self-conditioning has been central to the success of continuous diffusion language models, as it allows models to correct previous errors. Yet its ability degrades precisely in the…
cs.CL2024
On Effects of Steering Latent Representation for Large Language Model Unlearning
Dang Huu-Tien, Trung-Tin Pham, Hoang Thanh-Tung +1
Representation Misdirection for Unlearning (RMU), which steers model representation in the intermediate layer to a target random representation, is an effective method for large la…