With the explosive growth in the scale of large language models, efficient computing has become a shared pursuit in both academia and industry. The IEEE-ICME 2026 Challenge on Efficient Computing for Low-Precision Large Language Models focuses on algorithmic innovation and system optimization for low-bit training and inference. We emphasize "real-world practicality" and "engineering viability," aiming to encourage participants to break down the barriers between theoretical models and actual deployment constraints. To help participants deeply understand the challenge logic, we have specially planned a live streaming session, which will cover the following in detail:

1. Challenge Background: Cutting-edge trends and real-world challenges in low-precision computing.

2. Rule Breakdown: Task objectives, competition stages, and key timelines.

3. Technical Guide: Program execution demonstrations, submission format specifications, and an in-depth analysis of the evaluation criteria.

4. Interactive Q&A: Live expert connection  for real-time answers to technical questions.