LLMs organize prompted social roles along a dominant, stable, and causally steerable granularity axis in representation space that runs from micro to macro levels.
Rnr: Teaching large language models to follow roles and rules
2 Pith papers cite this work. Polarity classification is still indexing.
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A governed LLM routing system for lab tutoring raises challenge-alignment from 0.90 to 0.98, boosts productive-struggle time, and cuts token costs by two-thirds while preserving answer accuracy.
citing papers explorer
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The Granularity Axis: A Micro-to-Macro Latent Direction for Social Roles in Language Models
LLMs organize prompted social roles along a dominant, stable, and causally steerable granularity axis in representation space that runs from micro to macro levels.
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Policy-Governed LLM Routing with Intent Matching for Instrument Laboratories
A governed LLM routing system for lab tutoring raises challenge-alignment from 0.90 to 0.98, boosts productive-struggle time, and cuts token costs by two-thirds while preserving answer accuracy.