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#LLM

Research

Mask Tokens as Prophet: Fine-Grained Cache Eviction for Efficient dLLM Inference
Jianuo Huang, Yaojie Zhang, Yicun Yang, Benhao Huang, Biqing Qi, Dongrui Liu, Linfeng Zhang
Oct 10th 2025
#Diffusion
#LLM
#Efficiency

MaskKV exploits mask-token attention signals to evict low-utility KV pairs in diffusion LLMs, shrinking cache budgets while preserving long-context accuracy and increasing throughput.

paper
code
Mask Tokens as Prophet: Fine-Grained Cache Eviction for Efficient dLLM Inference
ICLR 2024
Defining and extracting generalizable interaction primitives from DNNs
Lu Chen, Siyu Lou, Benhao Huang, Quanshi Zhang
Sep 13th 2024
#LLM
#AI Interpretability

Given different DNNs trained for the same task, developed a new method to extract interactions that are shared by these DNNs. Experiments show that the extracted interactions can better reflect common ...

paper
GitHub
Defining and extracting generalizable interaction primitives from DNNs