56 citations · 56 across the 5 of their papers we have counts for
5 papers
Scaling DPPs for RAG: Density Meets Diversity
Xun Sun, Baiheng Xie, Li Huang +1
Retrieval-Augmented Generation (RAG) enhances Large Language Models (LLMs) by grounding generation in external knowledge, yielding relevance responses that are aligned with factual…
M-RAG: Semantic Key-Value Indexing for Retrieval-Augmented Generation
Xu Sun, Tongkai Xu, Baiheng Xie +3
Retrieval-augmented generation (RAG) turns external documents into evidence for large language models. In practice, this is also a data access problem: a system must decide what to…
Advancing Event Causality Identification via Heuristic Semantic Dependency Inquiry Network
Haoran Li, Qiang Gao, Hongmei Wu +1
Event Causality Identification (ECI) focuses on extracting causal relations between events in texts. Existing methods for ECI primarily rely on causal features and external knowled…
Incorporating Interactive Facts for Stock Selection via Neural Recursive ODEs
Qiang Gao, Xinzhu Zhou, Kunpeng Zhang +3
Stock selection attempts to rank a list of stocks for optimizing investment decision making, aiming at minimizing investment risks while maximizing profit returns. Recently, resear…
Human-Level Control through Directly-Trained Deep Spiking Q-Networks
Guisong Liu, Wenjie Deng, Xiurui Xie +2
As the third-generation neural networks, Spiking Neural Networks (SNNs) have great potential on neuromorphic hardware because of their high energy-efficiency. However, Deep Spiking…