Source record

Published by arXiv cs.HC (T1 source). The original is at https://arxiv.org/abs/2607.17022.

Pipeline notes

The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.

Research paper investigating how LLMs can tailor code explanations to diverse problem-solving styles. Authors constructed prompts covering 5 problem-solving styles, generated 1,072 explanations from 6 open-weight LLMs, and derived a taxonomy of 13 linguistic adaptations, each backed by literature, prompt, or output evidence. The work contributes declarative adaptation statements and 10 reusable style prompts.

First systematic study on LLM code-explanation adaptation to problem-solving styles, yielding a grounded taxonomy and reusable prompts for personalized agent-assisted coding.

Cited by

No citations on record.