most citedTowards Human-AI Mutual Learning: A New Research Paradigm

4 citations · 7 across the 5 of their papers we have counts for

collaborators

5 papers

cs.DB2025

RubikSQL: Lifelong Learning Agentic Knowledge Base as an Industrial NL2SQL System

Zui Chen, Han Li, Xinhao Zhang +12

We present RubikSQL, a novel NL2SQL system designed to address key challenges in real-world enterprise-level NL2SQL, such as implicit intents and domain-specific terminology. Rubik…

cs.IR2025

SSEmb: A Joint Structural and Semantic Embedding Framework for Mathematical Formula Retrieval

Ruyin Li, Xiaoyu Chen

Formula retrieval is an important topic in Mathematical Information Retrieval. We propose SSEmb, a novel embedding framework capable of capturing both structural and semantic featu…

cs.AI2025

Mapping Human-Agent Co-Learning and Co-Adaptation: A Scoping Review

Shruti Kumar, Xiaoyu Chen, Xiaomei Wang

Several papers have delved into the challenges of human-AI-robot co-learning and co-adaptation. It has been noted that the terminology used to describe this collaborative relations…

cs.HC2024★ 4 cited

Towards Human-AI Mutual Learning: A New Research Paradigm

Xiaomei Wang, Xiaoyu Chen

This paper describes a new research paradigm for studying human-AI collaboration, named "human-AI mutual learning", defined as the process where humans and AI agents preserve, exch…

cs.LG2024★ 3 cited

HRLAIF: Improvements in Helpfulness and Harmlessness in Open-domain Reinforcement Learning From AI Feedback

Ang Li, Qiugen Xiao, Peng Cao +12

Reinforcement Learning from AI Feedback (RLAIF) has the advantages of shorter annotation cycles and lower costs over Reinforcement Learning from Human Feedback (RLHF), making it hi…