Jie Tang

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 article discusses a method for identifying non-factual content in AI responses without human labels.

New system enhances academic searches using language models.

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.

A new method improves voice separation in noisy settings with multiple speakers.

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.

VisScience tests large models on scientific reasoning using text and images.

New models improve math problem-solving by incorporating visual context alongside text.

AutoGLM simplifies interactions with technology, enhancing everyday tasks efficiently.

Researchers improve protein model training using diverse data and efficient methods.

Discover how FAS and ARIS will shape the next generation of communication.

A look into how new tech secures wireless communication.

A fresh method addresses author name mix-ups in academic research.

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.