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arXiv · 2507.08335

MK2 at PBIG Competition: A Prompt Generation Solution

Yuzheng Xu·Tosho Hirasawa·Seiya Kawano·Shota Kato·Tadashi Kozuno
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Abstract

The Patent-Based Idea Generation task asks systems to turn real patents into product ideas viable within three years. We propose MK2, a prompt-centric pipeline: Gemini 2.5 drafts and iteratively edits a prompt, grafting useful fragments from weaker outputs; GPT-4.1 then uses this prompt to create one idea per patent, and an Elo loop judged by Qwen3-8B selects the best prompt-all without extra training data. Across three domains, two evaluator types, and six criteria, MK2 topped the automatic leaderboard and won 25 of 36 tests. Only the materials-chemistry track lagged, indicating the need for deeper domain grounding; yet, the results show that lightweight prompt engineering has already delivered competitive, commercially relevant ideation from patents.

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Yuzheng Xu, Tosho Hirasawa, Seiya Kawano, Shota Kato, Tadashi Kozuno. 2025-07-11. MK2 at PBIG Competition: A Prompt Generation Solution. https://arxiv.org/abs/2507.08335

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