107 citations · 111 across the 3 of their papers we have counts for
3 papers
cs.CL2025
Multi-Agent Collaboration for Multilingual Code Instruction Tuning
Jian Yang, Wei Zhang, Jiaxi Yang +9
Recent advancement in code understanding and generation demonstrates that code LLMs fine-tuned on a high-quality instruction dataset can gain powerful capabilities to address wide-…
cs.CL2025★ 4 cited
CodeElo: Benchmarking Competition-level Code Generation of LLMs with Human-comparable Elo Ratings
Shanghaoran Quan, Jiaxi Yang, Bowen Yu +14
With the increasing code reasoning capabilities of existing large language models (LLMs) and breakthroughs in reasoning models like OpenAI o1 and o3, there is a growing need to dev…
cs.CL2025★ 107 cited
Qwen2.5 Technical Report
Qwen, :, An Yang +41
In this report, we introduce Qwen2.5, a comprehensive series of large language models (LLMs) designed to meet diverse needs. Compared to previous iterations, Qwen 2.5 has been sign…