3 papers
cs.AI2026
Mnemosyne: Agentic Transaction Processing for Validating and Repairing AI-generated Workflows
Edward Y. Chang, Longling Geng
LLMs increasingly generate workflow actions and repairs that may be well formed yet stale, infeasible, conflicting, or destructive of their own evidence. We introduce Agentic Trans…
cs.AI2026
TRACE: An Operational Reasoning Schema for Auditable Agentic Commitments
Edward Y. Chang, Emily J. Chang
This paper defines TRACE (Typed Reasoning And Commitment Evidence): a typed, versioned schema for recording reasoning traces, a reference procedure for writing records against it,…
cs.LG2019
Distributed Layer-Partitioned Training for Privacy-Preserved Deep Learning
Chun-Hsien Yu, Chun-Nan Chou, Emily Chang
Deep Learning techniques have achieved remarkable results in many domains. Often, training deep learning models requires large datasets, which may require sensitive information to…