AIBullisharXiv – CS AI · Mar 56/10
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NRR-Phi: Text-to-State Mapping for Ambiguity Preservation in LLM Inference
Researchers developed NRR-Phi, a framework that prevents large language models from prematurely committing to single interpretations of ambiguous text. The system maintains multiple valid interpretations in a non-collapsing state space, achieving 1.087 bits of mean entropy compared to zero for traditional collapse-based models.