Transformers Can Reuse Hidden Token Representations Without Retraining
A new inference-time framework reuses highly similar hidden token states in transformers, preserving sequence length without retraining while largely maintaining ...
A new inference-time framework reuses highly similar hidden token states in transformers, preserving sequence length without retraining while largely maintaining ...
A new representational analysis of 15 open-source language models shows that jailbreak vulnerability leaves measurable, family-specific traces in hidden states, ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine