LLM-assisted academic research and structured technical documentation for AI model evaluation (Zhihu/GitHub)
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Prompt + Response Writing (SFT)Performed AI-data work focused on generating and documenting LLM-driven research outputs and structured technical materials for model evaluation context. Used LLMs alongside academic research workflows to synthesize and review literature related to embodied intelligence and technical documentation. Maintained a consistent cadence of producing high-quality written artifacts intended to support training/evaluation and knowledge transfer. • Collected and synthesized information using LLM-assisted workflows. • Produced structured explanations, templates, and system-architecture summaries in Markdown/LaTeX. • Documented algorithmic reasoning and coding approaches suitable for AI evaluation contexts. • Reviewed embodied intelligence literature using an advanced research workflow (e.g., Zotero + LLM).