#attribution-analysis News & Analysis

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

2 articles

AINeutralarXiv – CS AI · Apr 206/10

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LLM attribution analysis across different fine-tuning strategies and model scales for automated code compliance

Researchers conducted a comparative study of how large language models trained with different fine-tuning methods (full fine-tuning, LoRA, and quantized LoRA) interpret code compliance tasks. The study reveals that full fine-tuning produces more focused attribution patterns than parameter-efficient methods, and larger models develop distinct interpretive strategies despite performance gains plateauing above 7B parameters.

AINeutralarXiv – CS AI · Apr 106/10

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Attribution-Driven Explainable Intrusion Detection with Encoder-Based Large Language Models

Researchers propose an attribution-driven approach to make encoder-based Large Language Models more transparent and trustworthy for network intrusion detection in Software-Defined Networks. By analyzing which traffic features drive model decisions, the study demonstrates that LLMs learn legitimate attack behavior patterns, addressing a critical barrier to deploying AI security tools in sensitive environments.