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Core optimizations (refer to arXiv:2510.09722): 1. PDF text fusion: Metadata + OCR dual-path extraction and fusion 2. Page-aware reconstruction: YOLOv10 page segmentation + hierarchical sorting + line number indexing 3. Parallel task decomposition: Basic information/work experience/educational background three-way parallel LLM extraction 4. Index pointer mechanism: LLM returns a range of line numbers instead of generating the full text, reducing the illusion of full text. --------- Co-authored-by: Aron.Yao <yaowei@yaoweideMacBook-Pro.local> Co-authored-by: Aron.Yao <yaowei@192.168.1.68> Co-authored-by: Yingfeng <yingfeng.zhang@gmail.com>
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1.2 KiB
Please extract project experience from the following line-indexed resume text.
{indexed_text}
Extract into JSON, each project experience entry contains: {{ "projectExperience": [ {{ "project_name": "", "role": "", "start_date": "", "end_date": "", "desc_lines": [start_index, end_index] }} ] }}
Field descriptions:
- project_name: Project name
- role: Role/responsibility, e.g. "Project Lead", "Backend Developer"
- start_date: Start date, format %Y.%m or %Y
- end_date: End date, use "Present" if ongoing, "" if not available
- desc_lines: [start_line, end_line], line number range for project description (integer array)
- Refers to the original text reference range for project description, including project content, tech stack, achievements, etc.
- Does not include lines containing project_name, role, start_date, end_date
- Include as much as possible until the next project experience entry or other section heading
- STOP before these section headings (do not include them in desc_lines): Self-evaluation, Personal Summary, Skills, Technical Skills, Education, Work Experience, Certificates, Languages, Hobbies, Career Objective
- Use [] if not available
Return JSON only. /no_think