Papers by Sanhanat Sivapiromrat
Privacy-R1: Privacy-Aware Multi-LLM Agent Collaboration via Reinforcement Learning (2026.acl-long)
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| Challenge: | Prior approaches to rewriting large language models shatters linguistic coherence and removes privacy-sensitive information. |
| Approach: | They propose a framework that trains an agent to dynamically route text chunks . it implicitly distinguishes between replaceable Personally Identifiable Information (PII) and task-critical PII . |
| Outcome: | The proposed framework achieves state-of-the-art on the privacy-utility frontier . it trains an agent to dynamically route text chunks, learning a policy that balances privacy leakage and task performance. |