15 citations · 18 across the 5 of their papers we have counts for
5 papers
Tuning LLMs by RAG Principles: Towards LLM-native Memory
Jiale Wei, Shuchi Wu, Ruochen Liu +3
Memory, additional information beyond the training of large language models (LLMs), is crucial to various real-world applications, such as personal assistant. The two mainstream so…
WavSpA: Wavelet Space Attention for Boosting Transformers' Long Sequence Learning Ability
Yufan Zhuang, Zihan Wang, Fangbo Tao +1
Transformer and its variants are fundamental neural architectures in deep learning. Recent works show that learning attention in the Fourier space can improve the long sequence lea…
The Spike Gating Flow: A Hierarchical Structure Based Spiking Neural Network for Online Gesture Recognition
Zihao Zhao, Yanhong Wang, Qiaosha Zou +7
Action recognition is an exciting research avenue for artificial intelligence since it may be a game changer in the emerging industrial fields such as robotic visions and automobil…
Augmenting Proposals by the Detector Itself
Xiaopei Wan, Zhenhua Guo, Chao He +2
Lacking enough high quality proposals for RoI box head has impeded two-stage and multi-stage object detectors for a long time, and many previous works try to solve it via improving…
TaxoGen: Unsupervised Topic Taxonomy Construction by Adaptive Term Embedding and Clustering
Chao Zhang, Fangbo Tao, Xiusi Chen +5
Taxonomy construction is not only a fundamental task for semantic analysis of text corpora, but also an important step for applications such as information filtering, recommendatio…