Data Party THU

Jul 7, 2026 · Artificial Intelligence

Parallel Decoding for Large Language Models: Balancing Inference Speed and Sampling Diversity in E‑GRM

The article presents an engineering analysis of the E‑GRM framework, detailing how parallel decoding, a temperature‑ladder sampling strategy, and batch‑parallel KV‑Cache sharing achieve low‑latency, high‑diversity inference while preserving consensus‑driven routing accuracy.