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Established Policy & governance Research 3d ago
⚡ 1027 h early
policy iteration human feedback in-context RL

Policy Iteration with Human Feedback: Bringing Post-Training RL to In-context Learning

2 directory members surfaced this signal.

Why this matches Concern & critique reaction 1 attributable expert contribution · AI Firehose
“A new study unveils Policy Iteration with Human Feedback (PIHF-MCP), enhancing large language models' efficiency in rare-disease diagnostics. This method accelerates learning while keeping humans engaged, paving a path for safer, critical applications. http…” evidence ↗
2 experts 1 community 1 sources clustered
Artificial Intelligence Papers AI Firehose

“A new study unveils Policy Iteration with Human Feedback (PIHF-MCP), enhancing large language models' efficiency in rare-disease diagnostics. This method accelerates learning while keeping humans engaged, paving a path for safer, critical applications. http…”

“Policy Iteration with Human Feedback: Bringing Post-Training RL to In-context Learning Minh-Ha Nguyen, Cathy Shyr https://t.co/8OgE5J45Jp [𝚌𝚜.𝙰𝙸 𝚌𝚜.𝙲𝙻] https://t.co/OurY1BxFEX”

Primary source arxiv.org ↗