Yuxiao Dong

A new method tackles the challenges of labeling nodes in open-world settings.

ChatGLM-RLHF improves AI interactions through human feedback and advanced training methods.

A new method enhances both language and math skills in language models.

New web navigation agent based on ChatGLM3-6B model enhances task performance.

This research focuses on enhancing GNNs using self-supervised learning and feature alignment.

A new framework enhances self-training for large language models using guided reasoning.

A benchmark created to improve comprehension of long video content.

GLM-4 models show improved capabilities in language understanding and generation.

New framework enhances node categorization in text-attributed graphs with limited data.

SinLG improves chatbot conversations by integrating background knowledge for better response selection.

A new method to assess how well LLMs understand and apply rules.

AutoGLM simplifies interactions with technology, enhancing everyday tasks efficiently.

A new chatbot offering human-like conversations with emotional awareness.

Learn how human feedback shapes AI language model responses.

A fresh approach to enhance instruction-following in language models.

Machines now generate images and videos based on human preferences.