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20242026
most citedQwen2.5-Coder Technical Report

45 citations · 51 across the 11 of their papers we have counts for

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6 papers · 1 filter

cs.CL2024

Next Token Prediction Towards Multimodal Intelligence: A Comprehensive Survey

Liang Chen, Zekun Wang, Shuhuai Ren +24

Building on the foundations of language modeling in natural language processing, Next Token Prediction (NTP) has evolved into a versatile training objective for machine learning ta…

cs.CL2024

ExecRepoBench: Multi-level Executable Code Completion Evaluation

Jian Yang, Jiajun Zhang, Jiaxi Yang +9

Code completion has become an essential tool for daily software development. Existing evaluation benchmarks often employ static methods that do not fully capture the dynamic nature…

cs.CL2024

Evaluating and Aligning CodeLLMs on Human Preference

Jian Yang, Jiaxi Yang, Ke Jin +7

Code large language models (codeLLMs) have made significant strides in code generation. Most previous code-related benchmarks, which consist of various programming exercises along…

cs.CL2024★ 1 cited

Towards a Unified View of Preference Learning for Large Language Models: A Survey

Bofei Gao, Feifan Song, Yibo Miao +22

Large Language Models (LLMs) exhibit remarkably powerful capabilities. One of the crucial factors to achieve success is aligning the LLM's output with human preferences. This align…

cs.AI2024★ 1 cited

Aligning CodeLLMs with Direct Preference Optimization

Yibo Miao, Bofei Gao, Shanghaoran Quan +6

The last year has witnessed the rapid progress of large language models (LLMs) across diverse domains. Among them, CodeLLMs have garnered particular attention because they can not…

cs.CL2024★ 45 cited

Qwen2.5-Coder Technical Report

Binyuan Hui, Jian Yang, Zeyu Cui +21

In this report, we introduce the Qwen2.5-Coder series, a significant upgrade from its predecessor, CodeQwen1.5. This series includes six models: Qwen2.5-Coder-(0.5B/1.5B/3B/7B/14B/…