Showing 1–20 of 66 results
/ Date/ Name
Apr 21, 2020Rigorous Explanation of Inference on Probabilistic Graphical ModelsJan 21, 2026Reconstruction-Anchored Diffusion Model for Text-to-Motion GenerationAug 6, 2025Dissipative Dynamics and Symmetry Breaking in Bosonic Sachdev-Ye-Kitaev LindbladianJun 17, 2025Efficient Serving of LLM Applications with Probabilistic Demand ModelingMar 30, 2024Towards Variable and Coordinated Holistic Co-Speech Motion GenerationJan 5, 2025LLMs Help Alleviate the Cross-Subject Variability in Brain Signal and Language AlignmentMay 21, 2025RRTL: Red Teaming Reasoning Large Language Models in Tool LearningJun 12, 2023Revisiting Token Pruning for Object Detection and Instance SegmentationMay 7, 2019Braiding Flux-Tubes in Topological Quantum and Classical Lattice Models from Class-DDec 29, 2024MaskGaussian: Adaptive 3D Gaussian Representation from Probabilistic MasksOct 18, 2022Influence of particle geometry on dispersion forceSep 12, 2024FIReStereo: Forest InfraRed Stereo Dataset for UAS Depth Perception in Visually Degraded EnvironmentsNov 29, 2021Multi-objective Explanations of GNN PredictionsSep 8, 2020Topological Gaps in Quasi-Periodic Spin Chains: A Numerical and K-Theoretic AnalysisOct 13, 2023Precedent-Enhanced Legal Judgment Prediction with LLM and Domain-Model CollaborationDec 26, 2022Crop mapping in the small sample/no sample case: an approach using a two-level cascade classifier and integrating domain knowledgeSep 25, 2024VPTQ: Extreme Low-bit Vector Post-Training Quantization for Large Language ModelsJan 8, 2025rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep ThinkingApr 3, 2025Adapting World Models with Latent-State Dynamics ResidualsMar 11, 2025In-situ dynamic spatial reconfiguration of nanoplasmonics using photothermal-shock tweezers