A user has proposed an automated research workflow designed to tackle complex, technical tasks that require information not easily found. This workflow leverages the DeepSeek-V4-Flash-0731 model for its cost-effectiveness and the Qwen3.6/3.8 27b model for its capabilities. The system generates a research plan, divides questions into groups, uses tool-enabled sub-agents for concurrent research, synthesizes findings into notes, and then uses Qwen and Kimi models to validate and correct the master report. AI
IMPACT This workflow could enable users to tackle more complex research tasks by automating information gathering and synthesis.
RANK_REASON User-proposed workflow integrating existing models for a specific task.
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