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Architectures

30,950 papers (33 classified directly here)

27
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Papers (including subtopics)

KineST: A Kinematics-guided Spatiotemporal State Space Model for Human Motion Tracking from Sparse Signals AAAI 2026 Knowledge Graph Guided Heterogeneity-Informed Diffusion Model for Spatio-Temporal Generation AAAI 2026 Knowledge Injection Exists in MoE? Exploring Expert-Aware Contrast Decoding in MoE for Mitigating LLMs’ Hallucinations ACL 2026 Know Your Neighbors: Subgraph Importance Sampling for Heterophilic Graph Active Learning AAAI 2026 KV-Tracker: Real-Time Pose Tracking with Transformers CVPR 2026 LabelKAN - Kolmogorov-Arnold Networks for Inter-Label Learning: Avian Community Learning AAAI 2026 LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis CVPR 2026 LAMIC: Layout-Aware Multi-Image Composition via Scalability of Multimodal Diffusion Transformer AAAI 2026 LangSAE Editing: Improving Multilingual Information Retrieval via Post-hoc Language Identity Removal ACL 2026 Language-Guided and Motion-Aware Gait Representation for Generalizable Recognition AAAI 2026 LASOR: Towards Clinically Transparent and Explainable Ophthalmic Report Generation via Lesion-Aware Segmentation WACV 2026 LATE-IIMAS at Semeval-2026 Task 13: Evaluating GNNs, PLMs, LLMs, and Stylometry for Automatic Code Identification SemEval 2026 Latent-Condensed Transformer for Efficient Long Context Modeling ACL 2026 Latent Knowledge-Guided Video Diffusion for Scientific Phenomena Generation from a Single Initial Frame AAAI 2026 Latent Uncertainty-Aware Multi-View SDF Scan Completion WACV 2026 Laytrol: Preserving Pretrained Knowledge in Layout Control for Multimodal Diffusion Transformers AAAI 2026 LC3: Long Cross-Language Code Clone Detection Enhanced by Opcode Sequences and Affinity Aggregation AAAI 2026 Learnable Matrix Profile for Motif Discovery on Multivariate Time Series AAAI 2026 Learnable Query-Enhanced Pose Transformation WACV 2026 Learn from Global Correlations: Enhancing Evolutionary Algorithm via Spectral GNN AAAI 2026 Learning and Testing Exposure Mappings of Interference using Graph Convolutional Autoencoders CLeaR 2026 Learning Cell-Aware Hierarchical Multi-Modal Representations for Robust Molecular Modeling AAAI 2026 Learning Compact 3D Representations from Feed-Forward Novel View Synthesis CVPR 2026 Learning Compact Latent Space for Representing Neural Signed Distance Functions with High-fidelity Geometry Details AAAI 2026 Learning Conjugate Direction Fields for Planar Quadrilateral Mesh Generation AAAI 2026