4 citations · 7 across the 3 of their papers we have counts for
3 papers
cs.CL2024★ 2 cited
AI PERSONA: Towards Life-long Personalization of LLMs
Tiannan Wang, Meiling Tao, Ruoyu Fang +4
In this work, we introduce the task of life-long personalization of large language models. While recent mainstream efforts in the LLM community mainly focus on scaling data and com…
cs.CL2024★ 4 cited
Symbolic Learning Enables Self-Evolving Agents
Wangchunshu Zhou, Yixin Ou, Shengwei Ding +9
The AI community has been exploring a pathway to artificial general intelligence (AGI) by developing "language agents", which are complex large language models (LLMs) pipelines inv…
cs.CL2024★ 1 cited
Weaver: Foundation Models for Creative Writing
Tiannan Wang, Jiamin Chen, Qingrui Jia +43
This work introduces Weaver, our first family of large language models (LLMs) dedicated to content creation. Weaver is pre-trained on a carefully selected corpus that focuses on im…