Mo Vazifeh

seqBench: A Tunable Benchmark to Quantify Sequential Reasoning Limits of LLMs

We introduce **seqBench**, a parametrized benchmark for probing sequential reasoning limits in Large Language Models (LLMs) through precise, multi-dimensional control over several key complexity dimensions. **seqBench** allows systematic variation of (1) the logical depth, defined as the number of s