activity
20182026
most citedA Survey of Human-in-the-loop for Machine Learning

720 citations · 810 across the 30 of their papers we have counts for

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5 papers · 1 filter

cs.AI2025

Forget What's Sensitive, Remember What Matters: Token-Level Differential Privacy in Memory Sculpting for Continual Learning

Bihao Zhan, Jie Zhou, Junsong Li +9

Continual Learning (CL) models, while adept at sequential knowledge acquisition, face significant and often overlooked privacy challenges due to accumulating diverse information. T…

cs.AI2025

RMoA: Optimizing Mixture-of-Agents through Diversity Maximization and Residual Compensation

Zhentao Xie, Chengcheng Han, Jinxin Shi +4

Although multi-agent systems based on large language models show strong capabilities on multiple tasks, they are still limited by high computational overhead, information loss, and…

cs.AI2023

DCQA: Document-Level Chart Question Answering towards Complex Reasoning and Common-Sense Understanding

Anran Wu, Luwei Xiao, Xingjiao Wu +6

Visually-situated languages such as charts and plots are omnipresent in real-world documents. These graphical depictions are human-readable and are often analyzed in visually-rich…

cs.AI2023★ 1 cited

Progressive Evidence Refinement for Open-domain Multimodal Retrieval Question Answering

Shuwen Yang, Anran Wu, Xingjiao Wu +4

Pre-trained multimodal models have achieved significant success in retrieval-based question answering. However, current multimodal retrieval question-answering models face two main…

cs.AI2023★ 6 cited

CGMI: Configurable General Multi-Agent Interaction Framework

Shi Jinxin, Zhao Jiabao, Wang Yilei +3

Benefiting from the powerful capabilities of large language models (LLMs), agents based on LLMs have shown the potential to address domain-specific tasks and emulate human behavior…