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20232026
most citedFOFO: A Benchmark to Evaluate LLMs' Format-Following Capability

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cs.SE2026

An Empirical Study on Influence-Based Pretraining Data Selection for Code Large Language Models

Chengli Xing, Zhengran Zeng, Gexiang Fang +3

Recent advancements in code large language models (Code-LLMs) have demonstrated remarkable capabilities in resolving programming related tasks. Meanwhile, researchers have recogniz…