Mini toolsPapers
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HEP Statistical Inference for UAV Fault Detection: CLs, LRT, and SBI Applied to Blade Damage
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SINDy-KANs: Sparse identification of non-linear dynamics through Kolmogorov-Arnold networks
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Learning Decision-Sufficient Representations for Linear Optimization
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End-to-End QGAN-Based Image Synthesis via Neural Noise Encoding and Intensity Calibration
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Cross-Lingual LLM-Judge Transfer via Evaluation Decomposition
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HiMu: Hierarchical Multimodal Frame Selection for Long Video Question Answering
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CausalVAD: De-confounding End-to-End Autonomous Driving via Causal Intervention
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Reasonably reasoning AI agents can avoid game-theoretic failures in zero-shot, provably
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Transformers Learn Robust In-Context Regression under Distributional Uncertainty
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SpecForge: A Flexible and Efficient Open-Source Training Framework for Speculative Decoding
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Attack by Unlearning: Unlearning-Induced Adversarial Attacks on Graph Neural Networks
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CAPSUL: A Comprehensive Human Protein Benchmark for Subcellular Localization
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UEPS: Robust and Efficient MRI Reconstruction
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Interplay: Training Independent Simulators for Reference-Free Conversational Recommendation
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MedForge: Interpretable Medical Deepfake Detection via Forgery-aware Reasoning
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ICE: Intervention-Consistent Explanation Evaluation with Statistical Grounding for LLMs
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WarPGNN: A Parametric Thermal Warpage Analysis Framework with Physics-aware Graph Neural Network
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Breaking Hard Isomorphism Benchmarks with DRESS
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HCAG: Hierarchical Abstraction and Retrieval-Augmented Generation on Theoretical Repositories with LLMs
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DAPA: Distribution Aware Piecewise Activation Functions for On-Device Transformer Inference and Training
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HAViT: Historical Attention Vision Transformer
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Color image restoration based on nonlocal saturation-value similarity
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AU Codes, Language, and Synthesis: Translating Anatomy to Text for Facial Behavior Synthesis
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From Human Interfaces to Agent Interfaces: Rethinking Software Design in the Age of AI-Native Systems
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Language Model Maps for Prompt-Response Distributions via Log-Likelihood Vectors
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Elastic Weight Consolidation Done Right for Continual Learning
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myMNIST: Benchmark of PETNN, KAN, and Classical Deep Learning Models for Burmese Handwritten Digit Recognition
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Complementary Text-Guided Attention for Zero-Shot Adversarial Robustness
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SJD-PAC: Accelerating Speculative Jacobi Decoding via Proactive Drafting and Adaptive Continuation
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Improving Joint Audio-Video Generation with Cross-Modal Context Learning
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AutORAN: LLM-driven Natural Language Programming for Agile xApp Development
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Cross-Modal Rationale Transfer for Explainable Humanitarian Classification on Social Media
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DiscoPhon: Benchmarking the Unsupervised Discovery of Phoneme Inventories With Discrete Speech Units
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Cyber-Resilient Digital Twins: Discriminating Attacks for Safe Critical Infrastructure Control
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ZEBRAARENA: A Diagnostic Simulation Environment for Studying Reasoning-Action Coupling in Tool-Augmented LLMs
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Benchmarking CNN-based Models against Transformer-based Models for Abdominal Multi-Organ Segmentation on the RATIC Dataset
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Learning to Self-Evolve
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OpenT2M: No-frill Motion Generation with Open-source,Large-scale, High-quality Data
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REST: Receding Horizon Explorative Steiner Tree for Zero-Shot Object-Goal Navigation
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GenVideoLens: Where LVLMs Fall Short in AI-Generated Video Detection?
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GEAR: Geography-knowledge Enhanced Analog Recognition Framework in Extreme Environments
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Agentic Flow Steering and Parallel Rollout Search for Spatially Grounded Text-to-Image Generation
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D-Mem: A Dual-Process Memory System for LLM Agents
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An Onto-Relational-Sophic Framework for Governing Synthetic Minds
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SwiftGS: Episodic Priors for Immediate Satellite Surface Recovery
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Training-Free Sparse Attention for Fast Video Generation via Offline Layer-Wise Sparsity Profiling and Online Bidirectional Co-Clustering
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MOSAIC: Multi-Objective Slice-Aware Iterative Curation for Alignment
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PhysVideo: Physically Plausible Video Generation with Cross-View Geometry Guidance
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A Theoretical Comparison of No-U-Turn Sampler Variants: Necessary and Sufficient Convergence Conditions and Mixing Time Analysis under Gaussian Targets
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A Comparative Empirical Study of Catastrophic Forgetting Mitigation in Sequential Task Adaptation for Continual Natural Language Processing Systems
