Sarvesh Gharat

SGHA reveals that a structured corpus and evidence-constrained reasoning can yield more reliable and auditable research problem formulations than traditional frontier models.

Retrieval-augmented reasoning can boost LRM accuracy by up to 60% during test-time scaling, transforming how models handle complex problem-solving.