GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models
Overview
Paper Summary
This paper introduces GLM-4.5, a large language model designed to excel at reasoning, coding, and controlling external tools. Automated evaluations show promising results, but the paper lacks a head-to-head comparison against GPT-4 and has limited independent human evaluation. The model uses a Mixture-of-Experts architecture and claims better parameter efficiency than some competitors.
Explain Like I'm Five
GLM-4.5 is a large language model that combines several "expert" models to do well in multiple tasks like reasoning, coding, and controlling tools. Think of it like a group of talented people working together to solve complex problems.
Possible Conflicts of Interest
The authors are affiliated with Zhipu AI and Tsinghua University, which have a vested interest in the success of the GLM-4.5 model.
Identified Limitations
Rating Explanation
The paper presents a strong large language model with good performance across diverse tasks. However, the absence of a comparison against GPT-4 and limited independent human evaluation hold it back from a top rating. The reported performance suggests it represents a valuable contribution to open-source LLMs.
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