🧠 LLMs don’t just process text — they read the room. Meaning emerges through context — shaped by tone, trust & trajectory. Most benchmarks flatten that. This one maps it.
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Updated
Sep 10, 2025
🧠 LLMs don’t just process text — they read the room. Meaning emerges through context — shaped by tone, trust & trajectory. Most benchmarks flatten that. This one maps it.
Behavioral Trust Clustering a thermodynamic governance layer that reduces LLM hallucination by 52% on HumanEval. Drop-in wrapper for any decoder. MIT.
Trust calibration for agentic tool use as preference learning: a GP-probit allow/ask/block policy gateway framed as Preferential Bayesian Optimization, with the paper and a reproducible simulation.
A production-ready framework for evaluating LLM reliability using semantic consistency, vulnerability scoring, and risk-aware trust calibration.
Audit framework for LLM trust-routing over biological science foundation model outputs.
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