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20242026
most citedChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools

180 citations · 215 across the 15 of their papers we have counts for

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7 papers · 1 filter

cs.AI2024

VisScience: An Extensive Benchmark for Evaluating K12 Educational Multi-modal Scientific Reasoning

Zhihuan Jiang, Zhen Yang, Jinhao Chen +4

Multi-modal large language models (MLLMs) have demonstrated promising capabilities across various tasks by integrating textual and visual information to achieve visual understandin…

cs.CL2024

MathGLM-Vision: Solving Mathematical Problems with Multi-Modal Large Language Model

Zhen Yang, Jinhao Chen, Zhengxiao Du +6

Large language models (LLMs) have demonstrated significant capabilities in mathematical reasoning, particularly with text-based mathematical problems. However, current multi-modal…

cs.CV2024★ 7 cited

CogVLM2: Visual Language Models for Image and Video Understanding

Wenyi Hong, Weihan Wang, Ming Ding +22

Beginning with VisualGLM and CogVLM, we are continuously exploring VLMs in pursuit of enhanced vision-language fusion, efficient higher-resolution architecture, and broader modalit…

cs.CV2024★ 18 cited

CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer

Zhuoyi Yang, Jiayan Teng, Wendi Zheng +15

We present CogVideoX, a large-scale text-to-video generation model based on diffusion transformer, which can generate 10-second continuous videos aligned with text prompt, with a f…

cs.CL2024★ 180 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.CV2024

LVBench: An Extreme Long Video Understanding Benchmark

Weihan Wang, Zehai He, Wenyi Hong +9

Recent progress in multimodal large language models has markedly enhanced the understanding of short videos (typically under one minute), and several evaluation datasets have emerg…

cs.LG2024★ 1 cited

Does Negative Sampling Matter? A Review with Insights into its Theory and Applications

Zhen Yang, Ming Ding, Tinglin Huang +5

Negative sampling has swiftly risen to prominence as a focal point of research, with wide-ranging applications spanning machine learning, computer vision, natural language processi…