Papers with Qwen2.5-xCoder

1 papers
Qwen2.5-xCoder: Multi-Agent Collaboration for Multilingual Code Instruction Tuning (2025.acl-long)

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Challenge: Existing methods to train code LLMs view each programming language in isolation . experimental results show that Qwen2.5-xCoder can bridge the gap between different programming languages .
Approach: They propose a framework that allows agents to collaborate to enhance multilingual instruction tuning for code LLMs.
Outcome: Experimental results show that Qwen2.5-xCoder can transfer knowledge efficiently and effectively between languages.

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