SMT

Researchers have developed LexGuard, an adversarial multi-agent framework that improves legal AI reliability by ensuring large language models respond only to legally relevant changes in case facts. T…

Researchers introduced Verifiable Transformers, a framework that converts localized circuits inside Transformer models into bounded, solver-checkable claims using SMT solvers. The approach directly ve…