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X-Coder: Advancing Competitive Programming with Fully Synthetic Tasks, Solutions, and Tests research paper by Microsoft, 2026

Microsoft · Jan 11, 2026 · Reasoning · 1 citations · 48 upvotes · unverified

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What it shows

Code LLMs trained on fully synthetic data using a feature-based synthesis pipeline achieve superior performance on competitive programming benchmarks while reducing dependence on real-world coding datasets.

UnverifiedHugging Face's summary; not yet checked by hand.

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About this paper
Authors
Jie Wu, Haoling Li, Xin Zhang and 7 more
arXiv
2601.06953 · PDF
Citations
1, 0 influential · Semantic Scholar
Upvotes
48 · Hugging Face
Code
github.com/JieWu02/X-Coder
Lab
Microsoft · on Companies · on Acquisitions · on Quarterly · on Paydays · on Releases · on TechConf

Changes

What changed
Influential citationsfirst count: 0Sep 25, 2026
Citationsfirst count: 1Sep 25, 2026
New paperFound by the weekly scan, unverifiedSep 25, 2026

Sources: each lab's own papers and arXiv, with citation and upvote counts from Semantic Scholar and Hugging Face. One-line summaries are for orientation, not a substitute for the paper. Logos via logo.dev; trademarks belong to their owners.

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