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Achieve 50% shorter reasoning chains without sacrificing accuracy by merging models using multi-objective evolutionary optimization.
Modeling prompt embeddings in hyperbolic space enables lightweight, geometry-aware detection of harmful VLM prompts that outperforms existing defenses.
Forget training probes – a simple energy discrepancy metric derived directly from LLM logits can pinpoint hallucinations with competitive accuracy.
