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Hubei University
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Performance of large reasoning models drops significantly as logical complexity rises, revealing critical gaps in current evaluation benchmarks.
LLM-powered multi-agent collaboration can boost zero-shot IMU activity recognition accuracy by 29% compared to existing agent models, even surpassing deep learning baselines.
Merging seemingly safe LLMs can create dangerously misaligned models, thanks to a new "TrojanMerge" attack that exploits latent vulnerabilities.