cached inference 1conflict resolution 1diffusion models 1feature correction 1image generation 1large language model agents 1model acceleration 1persistent memory 1state recovery 1transactional updates 1video generation 1
From the 2 of 3 linked papers with an AI index.
3 papers
cs.CV2026
FeatFix: Reuse What You Verify through Local Exact-Feature Correction for Faster Cached Diffusion Inference
Hanshuai Cui, Zhiqing Tang, Zhi Yao +3
FeatFix reuses exact intermediate features computed for verification to locally correct draft outputs in cached diffusion inference, speeding up image and video generation while pr…
cs.AI2026
MemTxn: A Transaction Boundary for Source-Supported Updates and Complete-State Recovery in Agent Memory
Hanshuai Cui, Zhiqing Tang, Zhi Yao +3
MemTxn is a governance layer for large language model agents that adds a transaction boundary to verify source-supported memory updates, resolve conflicting facts, and recover a co…
cs.CV2026
Not All Frames Deserve Full Computation: Accelerating Autoregressive Video Generation via Selective Computation and Predictive Extrapolation
Hanshuai Cui, Zhiqing Tang, Zhi Yao +3
Autoregressive (AR) video diffusion models enable long-form video generation but remain expensive due to repeated multi-step denoising. Existing training-free acceleration methods…