8 citations · 15 across the 7 of their papers we have counts for
7 papers
Cross-Modal Memory Compression for Efficient Multi-Agent Debate
Jing Wu, Yue Sun, Tianpei Xie +7
Multi-agent debate can improve reasoning quality and reduce hallucinations, but it incurs rapidly growing context as debate rounds and agent count increase. Retaining full textual…
TabDeco: A Comprehensive Contrastive Framework for Decoupled Representations in Tabular Data
Suiyao Chen, Jing Wu, Yunxiao Wang +6
Representation learning is a fundamental aspect of modern artificial intelligence, driving substantial improvements across diverse applications. While selfsupervised contrastive le…
CROPS: A Deployable Crop Management System Over All Possible State Availabilities
Jing Wu, Zhixin Lai, Shengjie Liu +6
Exploring the optimal management strategy for nitrogen and irrigation has a significant impact on crop yield, economic profit, and the environment. To tackle this optimization chal…
Deep Representation Learning for Multi-functional Degradation Modeling of Community-dwelling Aging Population
Suiyao Chen, Xinyi Liu, Yulei Li +2
As the aging population grows, particularly for the baby boomer generation, the United States is witnessing a significant increase in the elderly population experiencing multifunct…
Residual-based Language Models are Free Boosters for Biomedical Imaging
Zhixin Lai, Jing Wu, Suiyao Chen +2
In this study, we uncover the unexpected efficacy of residual-based large language models (LLMs) as part of encoders for biomedical imaging tasks, a domain traditionally devoid of…
Adaptive Ensembles of Fine-Tuned Transformers for LLM-Generated Text Detection
Zhixin Lai, Xuesheng Zhang, Suiyao Chen
Large language models (LLMs) have reached human-like proficiency in generating diverse textual content, underscoring the necessity for effective fake text detection to avoid potent…
SwitchTab: Switched Autoencoders Are Effective Tabular Learners
Jing Wu, Suiyao Chen, Qi Zhao +9
Self-supervised representation learning methods have achieved significant success in computer vision and natural language processing, where data samples exhibit explicit spatial or…