3 papers
cs.CY2026
Can LLMs Help Decentralized Dispute Arbitration? A Case Study of UMA-Resolved Markets on Polymarket
Junhao Wen, Juncen Zhou, Junjie Huang
Web3 prediction markets, exemplified by Polymarket, have gained prominence for leveraging collective intelligence to forecast a wide range of social, political, and sports events.…
cs.IR2025
Distance-aware Self-adaptive Graph Convolution for Fine-grained Hierarchical Recommendation
Tao Huang, Yihong Chen, Wei Fan +2
Graph Convolutional Networks (GCNs) are widely used to improve recommendation accuracy and performance by effectively learning the representations of user and item nodes. However,…
cs.IR2025
Multi-view Intent Learning and Alignment with Large Language Models for Session-based Recommendation
Shutong Qiao, Wei Zhou, Junhao Wen +4
Session-based recommendation (SBR) methods often rely on user behavior data, which can struggle with the sparsity of session data, limiting performance. Researchers have identified…