Ligong Han

2 papers indexed

arxivcs.LGcs.CR2026-07-06

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers

Ligong Han, Kai Xu, Hao Wang, Ruijiang Gao, Han Gao, Akash Srivastava

Fully homomorphic encryption (FHE) enables computation on encrypted data, but practical encrypted Transformer inference is bottlenecked by the sequential composition of many nonlinear blocks. We study whether Structured Newton Layer Parallelism (SNLP) can make this inter-layer co…

View free PDFSource page

arxivcs.CLcs.AIcs.LG2026-06-30

SLIM-RL: Risk-Budgeted Random-Masking RL for Diffusion LLMs Without Trajectory Slicing

Ruikang Zhao, Zhenting Wang, Han Gao, Ligong Han

Reinforcement learning for diffusion large language models (dLLMs) has largely moved to trajectory-aware methods. The current state of the art, TraceRL, holds that random masking is mismatched with the model's inference trajectory, and it reconstructs that trajectory during train…

View free PDFSource page