most citedChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools

180 citations · 180 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2025

TFANet: Three-Stage Image-Text Feature Alignment Network for Robust Referring Image Segmentation

Qianqi Lu, Yuxiang Xie, Jing Zhang +3

Referring Image Segmentation (RIS) is a task that segments image regions based on language expressions, requiring fine-grained alignment between two modalities. However, existing m…

cs.CV2025

Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field

Jinlong Fan, Xuepu Zeng, Jing Zhang +3

Dynamic scene representation and reconstruction have undergone transformative advances in recent years, catalyzed by breakthroughs in neural radiance fields and 3D Gaussian splatti…

cs.CV2025

Reasoning-OCR: Can Large Multimodal Models Solve Complex Logical Reasoning Problems from OCR Cues?

Haibin He, Maoyuan Ye, Jing Zhang +4

Large Multimodal Models (LMMs) have become increasingly versatile, accompanied by impressive Optical Character Recognition (OCR) related capabilities. Existing OCR-related benchmar…

cs.CL2024180 cited

ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools

Team GLM, :, Aohan Zeng +56

We introduce ChatGLM, an evolving family of large language models that we have been developing over time. This report primarily focuses on the GLM-4 language series, which includes…

cs.LG2024

Heterogeneous Graph Contrastive Learning with Spectral Augmentation

Jing Zhang, Xiaoqian Jiang, Yingjie Xie +1

Heterogeneous graphs can well describe the complex entity relationships in the real world. For example, online shopping networks contain multiple physical types of consumers and pr…