Sherlock-LLM investigates persona alignment in large language models through parameter-efficient fine-tuning. The project studies how lightweight adaptation methods can enforce consistent persona traits in Qwen-2.5 models without full model retraining, making the approach scalable and practical for research use.
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Updated
Jul 9, 2026 - Python