Author

Edward Phillips

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#natural language process... Feb 2026

Semantic Self-Distillation for Language Model Uncertainty

It is shown that sampled semantic distributions can be distilled into lightweight student models which estimate a prompt-conditioned density before the language model generates an answer token, which can serve as a general framework for distilling predictive uncertainty in complex output spaces beyond language.

Edward Phillips, Sean Wu, Fredrik K. Gustafsson et al. · arXiv.org · 4 citations

Preprint Aug 2026

When Text and Numbers Disagree: Evidence Arbitration in Large Language Models

It is suggested that current LLMs often rely on heuristic arbitration strategies when integrating heterogeneous evidence, highlighting a failure mode for tool-augmented decision systems.

Mattia Carletti, Edward Phillips, Fredrik K. Gustafsson et al. · 0 citations