Table 1 Factor affecting the effective... | Emerald Publishing

Table 1

Factor affecting the effective large language model optimization

Factor	Factor name	Description	References
F1	Retrieval Augmentation	Incorporates external, high-quality, real-time data sources into LLM responses to improve accuracy and context relevance	Li et al. (2026)
F2	Readability Enhancement	Simplifies language and optimizes sentence structure to ensure LLMs can parse and generate accurate, user-friendly summaries	Will et al. (2024)
F3	Content Quality Assurance	Applies automated tools to evaluate and maintain content credibility, comprehensiveness and accessibility for LLMs	Hendrik et al. (2025)
F4	Filtering of Unsafe Content	Implements automated filters to remove biased, outdated or harmful data that could negatively influence LLM output	Vadlapati (2024)
F5	User-Centric Content Design	Aligns content structure and interaction with human and machine needs to facilitate effective LLM integration and engagement	Cossatin et al. (2025)

Factor	Factor name	Description	References
F1	Retrieval Augmentation	Incorporates external, high-quality, real-time data sources into LLM responses to improve accuracy and context relevance	Li et al. (2026)
F2	Readability Enhancement	Simplifies language and optimizes sentence structure to ensure LLMs can parse and generate accurate, user-friendly summaries	Will et al. (2024)
F3	Content Quality Assurance	Applies automated tools to evaluate and maintain content credibility, comprehensiveness and accessibility for LLMs	Hendrik et al. (2025)
F4	Filtering of Unsafe Content	Implements automated filters to remove biased, outdated or harmful data that could negatively influence LLM output	Vadlapati (2024)
F5	User-Centric Content Design	Aligns content structure and interaction with human and machine needs to facilitate effective LLM integration and engagement	Cossatin et al. (2025)

Source(s): Authors' contribution