AINeutralarXiv – CS AI · 8h ago6/10
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UTS at PsyDefDetect: Multi-Agent Councils and Absence-Based Reasoning for Defense Mechanism Classification
Researchers from UTS achieved second place in a psychological defense mechanism classification competition using a multi-agent AI system that identifies defense patterns through absence-based reasoning rather than presence detection. The system combines Gemini 2.5 agents with fine-tuned Qwen models to achieve an F1 score of 0.406, addressing critical biases in minority class prediction through structured ensemble methods.
🧠 Gemini