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cs.AI2025
Combining LLM Semantic Reasoning with GNN Structural Modeling for Multi-View Multi-Label Feature Selection
Zhiqi Chen, Yuzhou Liu, Jiarui Liu +1
Multi-view multi-label feature selection aims to identify informative features from heterogeneous views, where each sample is associated with multiple interdependent labels. This p…
cs.AI2025
Entropy-based Exploration Conduction for Multi-step Reasoning
Jinghan Zhang, Xiting Wang, Fengran Mo +3
Multi-step processes via large language models (LLMs) have proven effective for solving complex reasoning tasks. However, the depth of exploration of the reasoning procedure can si…