1 citations · 1 across the 5 of their papers we have counts for
5 papers
Interpreting Emergent Extreme Events in Multi-Agent Systems
Ling Tang, Jilin Mei, Dongrui Liu +4
Large language model-powered multi-agent systems have emerged as powerful tools for simulating complex human-like systems. The interactions within these systems often lead to extre…
Language Models as Messengers: Enhancing Message Passing in Heterophilic Graph Learning
Dawei Cheng, Wenjun Wang, Mingjian Guang
Graph neural networks (GNNs) have become a standard paradigm for graph representation learning, yet their message passing mechanism implicitly assumes that messages can be represen…
FinTSB: A Comprehensive and Practical Benchmark for Financial Time Series Forecasting
Yifan Hu, Yuante Li, Peiyuan Liu +6
Financial time series (FinTS) record the behavior of human-brain-augmented decision-making, capturing valuable historical information that can be leveraged for profitable investmen…
FinMamba: Market-Aware Graph Enhanced Multi-Level Mamba for Stock Movement Prediction
Yifan Hu, Peiyuan Liu, Yuante Li +5
Recently, combining stock features with inter-stock correlations has become a common and effective approach for stock movement prediction. However, financial data presents signific…
CSPRD: A Financial Policy Retrieval Dataset for Chinese Stock Market
Jinyuan Wang, Hai Zhao, Zhong Wang +6
In recent years, great advances in pre-trained language models (PLMs) have sparked considerable research focus and achieved promising performance on the approach of dense passage r…