LLMs Collapse After Six Simultaneous Constraints, New Study Shows
Researchers present Constraint Saturation Evaluation, a benchmark that varies the number of simultaneous constraints from 1 to 12 across 15 models. They show that while each constraint’s pass rate drops slowly, the chance of meeting all constraints crashes after about five or six constraints, making multi‑constraint instruction following unreliable.