GLM: General Language Model Pretraining with Autoregressive...

🤖 Plain-English Summary

Zhengxiao Du, Yujie Qian, Xiao Liu, Ming Ding, Jiezhong Qiu, Zhilin Yang, Jie Tang.

🔑 Key Findings

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

💡 Why This Matters

This research advances how AI systems learn, reason, and solve problems — with direct implications for automation and scientific discovery.

Read the full paper
Access the original peer-reviewed research via OpenAlex.

View on DOI ↗

📜 Copyright Notice: This page shows only metadata (title, authors, journal, date) and an original AI-generated summary. No abstract or full article text is copied. The original research is the intellectual property of its authors and publisher. ScienceTrace does not reproduce copyrighted content.

← More Artificial Intelligence All Research Articles

📋 Article Details

Category	🤖 Artificial Intelligence
Published	Jan 01, 2022
Journal	Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Authors	Zhengxiao Du, Yujie Qian, Xiao Liu, Ming Ding, Jiezhong Qiu
DOI	10.18653/v1/2022.acl-long.26
Citations	917
Source	OpenAlex

🗂️ Research Categories

🤖 Artificial Intelligence 🧬 Medicine & Biology ⚛️ Physics & Space Science ⚙️ Engineering & Technology ∑ Mathematics

GLM: General Language Model Pretraining with Autoregressive Blank Infilling

🤖 Plain-English Summary

🔑 Key Findings

💡 Why This Matters

📋 Article Details

🗂️ Research Categories

🔗 Related Resources

More 🤖 Artificial Intelligence Research