3 papers
cs.AI2026
Teaching AI Agent to Play Poker Strategically Through Preference Optimization
Phurinat Polasa, Thanapon Thanadunpremdet, Phatthanasak Kraiduang +1
A poker agent can make a legal move and still make a strategically poor one. We ask whether compact AI agents can exhibit strategic behavior under hidden information and whether pr…
cs.CV2026
LINGO: Latent Initialization and Gradient Optimization for Sparse-view X-ray Novel View Synthesis and CT Reconstruction with 3D Gaussian Splatting
Lifeng Xing, Dequan Jin, Kunpeng Bu +2
In novel view synthesis and Computed Tomography (CT) reconstruction with sparse-view X-ray imaging, insufficient angular coverage leads to structural ambiguity and accumulated nois…
cs.CV2025
RoNFA: Robust Neural Field-based Approach for Few-Shot Image Classification with Noisy Labels
Nan Xiang, Lifeng Xing, Dequan Jin
In few-shot learning (FSL), the labeled samples are scarce. Thus, label errors can significantly reduce classification accuracy. Since label errors are inevitable in realistic lear…