5 papers
HCP-MAD:Heterogeneous Consensus-Progressive Reasoning for Efficient Multi-Agent Debate
Yiqing Liu, Hantao Yao, Wu Liu +2
Multi-Agent Debate (MAD) is a collaborative framework in which multiple agents iteratively refine solutions through the generation of reasoning and alternating critique cycles. Cur…
GASim: A Graph-Accelerated Hybrid Framework for Social Simulation
Xuan Zhou, Yanhui Sun, Hantao Yao +3
Large-scale social simulators are essential for studying complex social patterns. Prior work explores hybrid methods to scale up simulations, combining large language models (LLM)-…
OmniPrism: Learning Disentangled Visual Concept for Image Generation
Yangyang Li, Daqing Liu, Wu Liu +4
Creative visual concept generation often draws inspiration from specific concepts in a reference image to produce relevant outcomes. However, existing methods are typically constra…
A Paradigm Shift: Fully End-to-End Training for Temporal Sentence Grounding in Videos
Allen He, Qi Liu, Kun Liu +2
Temporal sentence grounding in videos (TSGV) aims to localize a temporal segment that semantically corresponds to a sentence query from an untrimmed video. Most current methods ado…
PopSim: Social Network Simulation for Social Media Popularity Prediction
Yijun Liu, Wu Liu, Xiaoyan Gu +3
Accurately predicting the popularity of user-generated content (UGC) is essential for advancing social media analytics and recommendation systems. Existing approaches typically fol…