2 papers
cs.CL2026
Structure-Preserving Document-Level Data Augmentation via Discourse Parsing
Ruilin Shang, Shilong Hou, Zi Long +1
Data augmentation (DA) plays a vital role in improving model performance in low-resource or limited-supervision scenarios within Natural Language Processing (NLP). Existing DA meth…
cs.CR2025
A General Pseudonymization Framework for Cloud-Based LLMs: Replacing Privacy Information in Controlled Text Generation
Shilong Hou, Ruilin Shang, Zi Long +2
An increasing number of companies have begun providing services that leverage cloud-based large language models (LLMs), such as ChatGPT. However, this development raises substantia…