Research elites from 985/211 universities and CAS across STEM, humanities, and interdisciplinary fields. Deep understanding of China's research evaluation system and academic standards, providing paper review, academic tracing, and knowledge graph construction annotations.
The Langhui academic research expert team composition and core advantages
朗慧科研学术领域专家团队以C9/985高校基础学科硕博及中科院系统研究人员为核心，覆盖数学、物理、地理、历史、哲学五大基础学科。朗慧坚持顶会/顶刊论文发表硬门槛，确保专家具备真实的学术研究能力。
专家团队深度掌握各自学科的核心理论框架与前沿研究动态。在数学证明逻辑验证、物理模型推演评估、历史文献考证标注、哲学论证链分析等任务中，朗慧专家凭借学术一线的研究经验提供远超通识水平的深度学习数据。
覆盖任务包括定理证明步骤审查、跨学科知识关联标注、学术论文论证逻辑评估、学科史知识图谱构建等。每份标注通过3轮专业审核——学历/论文验证、学科专业知识笔试、学术报告答辩，确保标注对标高校研究者水平。
End-to-end annotation services for academic research AI
Research paper methodology assessment, contribution evaluation, publication readiness scoring
Citation network construction, research trend identification, influence metric calculation
Domain ontology annotation, concept relationship extraction, knowledge base population
Research data quality assessment, reproducibility evaluation, methodology compliance check
Publication ethics compliance, plagiarism detection, authorship verification
Cross-domain knowledge transfer annotation, emerging field identification, collaboration pattern analysis
In-depth data services for academic research LLM pretraining
Academic knowledge graph construction, research methodology Q&A, citation network reasoning
Domain ontology population, concept hierarchy annotation, cross-domain relationship extraction
Research paper summarization assessment, key contribution extraction, methodology description evaluation
Research question answering pair generation, explanation quality assessment, factual accuracy verification
Core value delivered by Langhui's academic research expert team
Researchers from top universities and CAS with strong publication records
Three-round academic review ensuring paper review and knowledge graph quality
STEM / Humanities / Social Sciences / Interdisciplinary
Deep familiarity with China's research evaluation system and academic norms
Strict expert admission criteria ensure professional quality
Any STEM, humanities, or social science discipline
Currently affiliated with a 985/211 university or CAS institute
Published in peer-reviewed journals, top journal experience preferred
Ability to work across disciplinary boundaries
Deep familiarity with academic publishing norms and research integrity
Confirmation and initiation within 2 hours of task assignment
Langhui's differentiated advantages in academic research data annotation
Standardized process from requirements to high-quality delivery
Deep understanding of project needs, customized annotation plan
Precisely matched domain experts based on task type
Expert team delivers annotations with full quality monitoring
Three-round quality review before delivery
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