5 papers
Relational Retrieval: Leveraging Known-Novel Interactions for Generalized Category Discovery
Yulin Xu, Chunqi Guo, Yuanzhen Shuai +1
In this study, we tackle Generalized Category Discovery (GCD) via a Relational Retrieval perspective, explicitly coupling labeled and unlabeled data through bidirectional knowledge…
MultiPress: A Multi-Agent Framework for Interpretable Multimodal News Classification
Tailong Luo, Hao Li, Rong Fu +7
With the growing prevalence of multimodal news content, effective news topic classification demands models capable of jointly understanding and reasoning over heterogeneous data su…
SCORE: Story Coherence and Retrieval Enhancement for AI Narratives
Qiang Yi, Yangfan He, Jianhui Wang +18
Large Language Models (LLMs) can generate creative and engaging narratives from user-specified input, but maintaining coherence and emotional depth throughout these AI-generated st…
KEDformer:Knowledge Extraction Seasonal Trend Decomposition for Long-term Sequence Prediction
Zhenkai Qin, Baozhong Wei, Caifeng Gao +1
Time series forecasting is a critical task in domains such as energy, finance, and meteorology, where accurate long-term predictions are essential. While Transformer-based models h…
COVID19-CBABM: A City-Based Agent Based Disease Spread Modeling Framework
Raunak Sarbajna, Karima Elgarroussi, Hoang D Vo +2
In response to the ongoing pandemic and health emergency of COVID-19, several models have been used to understand the dynamics of virus spread. Some employ mathematical models like…