Arun Arun

Short-task benchmarks create an illusion of diminishing returns in LLM scaling; marginal gains in single-step accuracy compound into exponential improvements in long-horizon task execution, with larger models demonstrating significantly better execution capability across extended task sequences.

“Author of the research paper on measuring long horizon execution in LLMs”