Engineering Determinism in LLMs
→Academic research to mitigate output variance and enhance stability in LLMs. Developed a model-agnostic, three-stage pipeline enforcing semantic determinism: Semantic Normalization using SLMs and grammar-constrained decoding for canonical JSON, Semantic Verification for drift detection, and real-time Activation Probing/Steering via Concept Activation Analysis (CAA) and General Concept Activation Vectors (GCAV).
Research