activity
20232026
most citedChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools

180 citations · 180 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2026

ALIVE: Animate Your World with Lifelike Audio-Video Generation

Ying Guo, Qijun Gan, Yifu Zhang +13

Video generation is rapidly evolving towards unified audio-video generation. In this paper, we present ALIVE, a generation model that adapts a pretrained Text-to-Video (T2V) model…

cs.IR2026

LiveGraph: Active-Structure Neural Re-ranking for Exercise Recommendation

Rong Fu, Zijian Zhang, Jiekai Wu +8

The continuous expansion of digital learning environments has catalyzed the demand for intelligent systems capable of providing personalized educational content. While current exer…

cs.AI2025

MV-Debate: Multi-view Agent Debate with Dynamic Reflection Gating for Multimodal Harmful Content Detection in Social Media

Rui Lu, Jinhe Bi, Yunpu Ma +3

Social media has evolved into a complex multimodal environment where text, images, and other signals interact to shape nuanced meanings, often concealing harmful intent. Identifyin…

cs.AI2025

GeoSketch: A Neural-Symbolic Approach to Geometric Multimodal Reasoning with Auxiliary Line Construction and Affine Transformation

Shichao Weng, Zhiqiang Wang, Yuhua Zhou +5

Geometric Problem Solving (GPS) poses a unique challenge for Multimodal Large Language Models (MLLMs), requiring not only the joint interpretation of text and diagrams but also ite…

cs.CL2025

InvestAlign: Overcoming Data Scarcity in Aligning Large Language Models with Investor Decision-Making Processes under Herd Behavior

Huisheng Wang, Zhuoshi Pan, Hangjing Zhang +3

Aligning Large Language Models (LLMs) with investor decision-making processes under herd behavior is a critical challenge in behavioral finance, which grapples with a fundamental l…

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.CL2023

TeacherLM: Teaching to Fish Rather Than Giving the Fish, Language Modeling Likewise

Nan He, Hanyu Lai, Chenyang Zhao +12

Large Language Models (LLMs) exhibit impressive reasoning and data augmentation capabilities in various NLP tasks. However, what about small models? In this work, we propose Teache…