differential privacy 1large language models 1privacy-preserving NLP 1private text replication 1synthetic data generation 1
From the 1 of 3 linked papers with an AI index.
3 papers
cs.CR2026
Private Seeds, Public LLMs: Realistic and Privacy-Preserving Synthetic Data Generation
Qian Ma, Sarah Rajtmajer
The paper presents RPSG, a method that uses private seed texts and a differential privacy mechanism to generate realistic synthetic data with large language models while preserving…
cs.LG2025
Baichuan-M2: Scaling Medical Capability with Large Verifier System
M2 Team, Chengfeng Dou, Chong Liu +31
As large language models (LLMs) advance in conversational and reasoning capabilities, their practical application in healthcare has become a critical research focus. However, there…
cs.CL2025
Baichuan4-Finance Technical Report
Hanyu Zhang, Boyu Qiu, Yuhao Feng +6
Large language models (LLMs) have demonstrated strong capabilities in language understanding, generation, and reasoning, yet their potential in finance remains underexplored due to…