GLM-5: from Vibe Coding to Agentic Engineering (2026 · 95 citations)
GLM-5, from Zhipu AI and Tsinghua University, is an open-weight flagship model. It targets two obstacles to using LLMs as autonomous software engineers: high compute cost and weak reliability on long, real-world tasks. The model is a Mixture-of-Experts with 744B total and 40B active parameters. Its base was trained…
Baichuan Alignment Technical Report (2024 · 5 citations)
Alignment methods for large language models are usually kept proprietary or described only in fragments. This technical report from Baichuan Inc. and Peking University sets out the full alignment pipeline behind the Baichuan models. The pipeline has three stages. A Prompt Augmentation System (PAS) automatically…
Training Verifier to Assessing Complex Real-World Tool-Use Trajectories (2026)
LLM agents that handle multi-turn customer-service style tasks need training dialogues that reflect real user–agent collaboration.

Co-authors here

12 of 23 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

Papers of our library cite their works 94 times (of the 149,439 papers whose bibliographies we read); 8 citing papers with a page here →.

Updated 1 November 2026