collaborators

6 papers

cs.CL2025

MemOS: A Memory OS for AI System

Zhiyu Li, Chenyang Xi, Chunyu Li +36

Large Language Models (LLMs) have become an essential infrastructure for Artificial General Intelligence (AGI), yet their lack of well-defined memory management systems hinders the…

cs.CL2025

MemOS: An Operating System for Memory-Augmented Generation (MAG) in Large Language Models

Zhiyu Li, Shichao Song, Hanyu Wang +19

Large Language Models (LLMs) have emerged as foundational infrastructure in the pursuit of Artificial General Intelligence (AGI). Despite their remarkable capabilities in language…

cs.CL2025

SurveyX: Academic Survey Automation via Large Language Models

Xun Liang, Jiawei Yang, Yezhaohui Wang +11

Large Language Models (LLMs) have demonstrated exceptional comprehension capabilities and a vast knowledge base, suggesting that LLMs can serve as efficient tools for automated sur…

cs.CL2024

Attention Heads of Large Language Models: A Survey

Zifan Zheng, Yezhaohui Wang, Yuxin Huang +5

Since the advent of ChatGPT, Large Language Models (LLMs) have excelled in various tasks but remain as black-box systems. Understanding the reasoning bottlenecks of LLMs has become…

cs.CL2024

Controllable Text Generation for Large Language Models: A Survey

Xun Liang, Hanyu Wang, Yezhaohui Wang +8

In Natural Language Processing (NLP), Large Language Models (LLMs) have demonstrated high text generation quality. However, in real-world applications, LLMs must meet increasingly…

cs.CL2024

Fake Artificial Intelligence Generated Contents (FAIGC): A Survey of Theories, Detection Methods, and Opportunities

Xiaomin Yu, Yezhaohui Wang, Yanfang Chen +5

In recent years, generative artificial intelligence models, represented by Large Language Models (LLMs) and Diffusion Models (DMs), have revolutionized content production methods.…