Zhihao Wang

Research on Parallel Turbo Encoding and Decoding Technology

2024

The development of Turbo codes has played a significant role in promoting coding theory and research methods. It is an efficient error correction coding technology with performance close to the Shannon limit. Due to its …

A Learning Rate Path Switching Training Paradigm for Version Updates of Large Language Models

2024

Due to the continuous emergence of new data, version updates have become an indispensable requirement for Large Language Models (LLMs).The training paradigms for version updates of LLMs include pre-training from scratch (PTFS) and continual pre-training …

Research on RAG-Based Cognitive Large Language Model Training Method for Power Standard Knowledge

2025 · HighTech and Innovation Journal

Electrical standards encompass complex technical requirements across multiple disciplines, making their management and application a significant challenge that urgently requires efficient solutions. This paper proposes a knowledge graph retrieval-enhanced training method for large language models …