most citedR2C2-Coder: Enhancing and Benchmarking Real-world Repository-level Code Completion Abilities of Code Large Language Models

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cs.CL2026

ConceptRM: The Quest to Mitigate Alert Fatigue through Consensus-Based Purity-Driven Data Cleaning for Reflection Modelling

Yongda Yu, Lei Zhang, Xinxin Guo +9

In many applications involving intelligent agents, the overwhelming volume of alerts (mostly false) generated by the agents may desensitize users and cause them to overlook critica…

cs.CL2024

M2rc-Eval: Massively Multilingual Repository-level Code Completion Evaluation

Jiaheng Liu, Ken Deng, Congnan Liu +13

Repository-level code completion has drawn great attention in software engineering, and several benchmark datasets have been introduced. However, existing repository-level code com…

cs.CL2024★ 1 cited

R2C2-Coder: Enhancing and Benchmarking Real-world Repository-level Code Completion Abilities of Code Large Language Models

Ken Deng, Jiaheng Liu, He Zhu +13

Code completion models have made significant progress in recent years. Recently, repository-level code completion has drawn more attention in modern software development, and sever…