PromptBridge: Cross-Model Prompt Transfer for Large Language Models · HackerPapers discussionshttps://hackerpaper.kaipfister.de/p/2512.01420/Collected HN comments and submissions linking this paper.enMon, 02 Nov 2026 11:27:26 GMTPromptBridge: Cross-Model Prompt Transfer for Large Language Models — HN submissionhttps://news.ycombinator.com/item?id=47650438urn:hackerpapers:submission:2512.01420:47650438Sun, 05 Apr 2026 15:30:17 GMT<p>Show HN: Identa – CLI to calibrate prompts across local LLMs</p><p>A prompt tuned for Llama 3 often degrades on Mistral or Qwen — same task, different behavioral surface. Identa automates the recalibration. It implements two things from the PromptBridge paper (arXiv:2512.01420): A transfer engine that learns a mapping between model behaviors using source/target prompt pairs A MAP-RPE evolutionary loop that iteratively improves candidates against a scoring function until behavioral parity is reached Works fully local via Ollama. Also supports OpenRouter for cross-hosted runs. No telemetry, no cloud dependency. Built with Python, Typer, Pydantic. Happy to go…</p><p>5 points; 0 discussion replies on HN. <a href="https://hackerpaper.kaipfister.de/p/2512.01420/">Paper and source history</a>. A submission is not an endorsement.</p>cs.CL