21 citations · 21 across the 3 of their papers we have counts for
3 papers
cs.CL2026
Retrievable Gradients: Continual Post-Training Without Cumulative Weight Drift
Weihang Su, Jiacheng Kang, Jingyan Xu +7
Continual post-training enables models to absorb emerging knowledge after deployment, but repeatedly updating shared parameters can accumulate weight drift, potentially causing cat…
cs.CL2026
Decoupling Knowledge and Task Subspaces for Composable Parametric Retrieval Augmented Generation
Weihang Su, Hanwen Zhang, Qingyao Ai +1
Parametric Retrieval-Augmented Generation (PRAG) encodes external documents into lightweight parameter modules that can be retrieved and merged at inference time, offering a promis…
cs.SE2021★ 21 cited
Embedding API Dependency Graph for Neural Code Generation
Chen Lyu, Ruyun Wang, Hongyu Zhang +2
The problem of code generation from textual program descriptions has long been viewed as a grand challenge in software engineering. In recent years, many deep learning based approa…