3 citations · 5 across the 6 of their papers we have counts for
6 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…
Video Evidence to Reasoning Efficient Video Understanding via Explicit Evidence Grounding
Yanxiang Huang, Guohua Gao, Zhaoyang Wei
Large Vision-Language Models (LVLMs) face a fundamental dilemma in video reasoning: they are caught between the prohibitive computational costs of verbose reasoning and the halluci…
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…