2 citations · 2 across the 2 of their papers we have counts for
3 papers
cs.MA2026
One Model, Many Minds: Unlocking Multi-Agent Synergy in a Single Agent via Mixture of Roles
Zhichen Zeng, Huiyuan Chen, Jingru Cheng +7
Specializing Large Language Models (LLMs) toward distinct abilities underpins successes ranging from personalized assistants to multi-agent systems (MAS). Single-agent paradigms re…
cs.CL2022
Disentangling Task Relations for Few-shot Text Classification via Self-Supervised Hierarchical Task Clustering
Juan Zha, Zheng Li, Ying Wei +1
Few-Shot Text Classification (FSTC) imitates humans to learn a new text classifier efficiently with only few examples, by leveraging prior knowledge from historical tasks. However,…
cs.CL2022★ 2 cited
Eliciting and Understanding Cross-Task Skills with Task-Level Mixture-of-Experts
Qinyuan Ye, Juan Zha, Xiang Ren
Recent works suggest that transformer models are capable of multi-tasking on diverse NLP tasks and adapting to new tasks efficiently. However, the potential of these multi-task mod…