2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.CR2026
Private Seeds, Public LLMs: Realistic and Privacy-Preserving Synthetic Data Generation
Qian Ma, Sarah Rajtmajer
Large language models (LLMs) have emerged as a powerful tool for synthetic data generation. A particularly important use case is producing synthetic replicas of private text, which…
cs.LG2025★ 2 cited
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★ 1 cited
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…