{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/mastering-the-craft-of-data-synthesis-for","title":"Mastering the Craft of Data Synthesis for CodeLLMs","arxiv_id":"2411.00005","date":"2024-10-16","proceeding":null,"authors":["Meng Chen","Philip Arthur","Qianyu Feng","Cong Duy Vu Hoang","Yu-Heng Hong","Mahdi Kazemi Moghaddam","Omid Nezami","Thien Nguyen","Gioacchino Tangari","Duy Vu","Thanh Vu","Mark Johnson","Krishnaram Kenthapadi","Don Dharmasiri","Long Duong","Yuan-Fang Li"],"abstract":"Large language models (LLMs) have shown impressive performance in \\emph{code} understanding and generation, making coding tasks a key focus for researchers due to their practical applications and value as a testbed for LLM evaluation. Data synthesis and filtering techniques have been widely adopted and shown to be highly effective in this context. In this paper, we present a focused survey and taxonomy of these techniques, emphasizing recent advancements. We highlight key challenges, explore future research directions, and offer practical guidance for new researchers entering the field.","url_abs":"https://arxiv.org/abs/2411.00005v3","url_pdf":"https://arxiv.org/pdf/2411.00005v3.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"mastering-the-craft-of-data-synthesis-for","repo_url":"https://github.com/chenmengdx/awesome-data-synthesis-for-code-llm","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[],"methods":[{"method_slug":"focus","method_name":"Focus"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}