#code-models News & Analysis

2 articles tagged with #code-models. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

AINeutralarXiv – CS AI · Jun 56/10

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Code2LoRA: Hypernetwork-Generated Adapters for Code Language Models under Software Evolution

Researchers introduce Code2LoRA, a hypernetwork framework that generates repository-specific LoRA adapters for code language models, eliminating the need for expensive fine-tuning or lengthy context injection. The approach achieves competitive performance with lower computational overhead and introduces RepoPeftBench, a 604-repository benchmark for evaluating code model adaptation techniques.

🏢 Hugging Face

AINeutralarXiv – CS AI · May 296/10

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MIRA: Mid-training Rubric Anchoring for Source-Aware Data Selection

Researchers introduce MIRA, a framework for optimizing data selection during mid-training of large language models by dynamically discovering and applying source-specific evaluation rubrics. The approach achieves comparable performance to full-corpus training while reducing token usage by 50% on code-oriented tasks across 21 diverse data sources.