Unverified50% confidenceFactExact time
BCSM introduces cross-timestep transition alignment to ensure that the student model's transition behavior between different denoising steps is consistent with the teacher.
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11/4/2026
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UnverifiedBCSM constructs a bidirectional active set of size K for each position, containing both the teacher model's high-probability candidates and the student model's currently preferred candidates, compressing the number of candidates from |V| to K.63% similarVerifiedThis experiment adopts trajectory-level distillation, which belongs to the category of behavioral cloning, directly having the student model imitate the external behavioral sequences of the teacher model.59% similarUnverifiedThe researchers computed the principal components of the adapter update matrices and tracked their dynamics as λ varied; when λ causes the teacher to stop thinking, certain directions in the update subspace shift significantly, and this shift point corresponds to the disappearance of the teacher's thinking behavior.59% similarUnverifiedThe student model requires no access to MoE internal routing at inference time, making deployment more flexible, which explains why it can transfer across architectures.59% similarUnverifiedFP4-Local uses quantization-aware distillation (QAD): a BF16 teacher model constrains the student model, the student's routed expert weights are quantized to NVFP4 during the forward pass, and gradient updates go to the underlying BF16 weights.58% similar
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