Mini toolsPapers
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On the role of memorization in learned priors for geophysical inverse problems
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Alternating Diffusion for Proximal Sampling with Zeroth Order Queries
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MetaCues: Enabling Critical Engagement with Generative AI for Information Seeking and Sensemaking
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BEAVER: A Training-Free Hierarchical Prompt Compression Method via Structure-Aware Page Selection
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RiboSphere: Learning Unified and Efficient Representations of RNA Structures
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UniBioTransfer: A Unified Framework for Multiple Biometrics Transfer
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HyEvo: Self-Evolving Hybrid Agentic Workflows for Efficient Reasoning
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OmniDiT: Extending Diffusion Transformer to Omni-VTON Framework
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Heavy-Tailed and Long-Range Dependent Noise in Stochastic Approximation: A Finite-Time Analysis
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PolicySim: An LLM-Based Agent Social Simulation Sandbox for Proactive Policy Optimization
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Ensembles-based Feature Guided Analysis
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GravCal: Single-Image Calibration of IMU Gravity Priors with Per-Sample Confidence
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Model Selection and Parameter Estimation of Multi-dimensional Gaussian Mixture Model
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CS-MUNet: A Channel-Spatial Dual-Stream Mamba Network for Multi-Organ Segmentation
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Semantic Audio-Visual Navigation in Continuous Environments
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The Residual Stream Is All You Need: On the Redundancy of the KV Cache in Transformer Inference
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Toward High-Fidelity Visual Reconstruction: From EEG-Based Conditioned Generation to Joint-Modal Guided Rebuilding
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Structured Prompting for Arabic Essay Proficiency: A Trait-Centric Evaluation Approach
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Scale-Dependent Radial Geometry and Metric Mismatch in Wasserstein Propagation for Reverse Diffusion
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Geometric Mixture-of-Experts with Curvature-Guided Adaptive Routing for Graph Representation Learning
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Making Video Models Adhere to User Intent with Minor Adjustments
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DynFlowDrive: Flow-Based Dynamic World Modeling for Autonomous Driving
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ATHENA: Adaptive Test-Time Steering for Improving Count Fidelity in Diffusion Models
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GoAgent: Group-of-Agents Communication Topology Generation for LLM-based Multi-Agent Systems
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Vision-Language Attribute Disentanglement and Reinforcement for Lifelong Person Re-Identification
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Unbiased Dynamic Multimodal Fusion
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3D Gaussian Splatting with Self-Constrained Priors for High Fidelity Surface Reconstruction
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Ontology-Based Knowledge Modeling and Uncertainty-Aware Outdoor Air Quality Assessment Using Weighted Interval Type-2 Fuzzy Logic
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TSegAgent: Zero-Shot Tooth Segmentation via Geometry-Aware Vision-Language Agents
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A Subgoal-driven Framework for Improving Long-Horizon LLM Agents
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Diminishing Returns in Expanding Generative Models and Godel-Tarski-Lob Limits
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DataProphet: Demystifying Supervision Data Generalization in Multimodal LLMs
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A Unified Phase-native Computational Principle Governs Hippocampal Spike Timing and Neural Coding
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Demographic-Aware Self-Supervised Anomaly Detection Pretraining for Equitable Rare Cardiac Diagnosis
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Regret Analysis of Sleeping Competing Bandits
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Minimax and Adaptive Covariance Matrix Estimation under Differential Privacy
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WorldAgents: Can Foundation Image Models be Agents for 3D World Models?
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Bounded Coupled AI Learning Dynamics in Tri-Hierarchical Drone Swarms
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AIGQ: An End-to-End Hybrid Generative Architecture for E-commerce Query Recommendation
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EvoTaxo: Building and Evolving Taxonomy from Social Media Streams
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TAB-AUDIT: Detecting AI-Fabricated Scientific Tables via Multi-View Likelihood Mismatch
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Learning from Similarity/Dissimilarity and Pairwise Comparison
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LoopRPT: Reinforcement Pre-Training for Looped Language Models
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Stepwise: Neuro-Symbolic Proof Search for Automated Systems Verification
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BALM: A Model-Agnostic Framework for Balanced Multimodal Learning under Imbalanced Missing Rates
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FedRG: Unleashing the Representation Geometry for Federated Learning with Noisy Clients
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PerformRecast: Expression and Head Pose Disentanglement for Portrait Video Editing
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Procedural Refinement by LLM-driven Algorithmic Debugging for ARC-AGI-2
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PoC: Performance-oriented Context Compression for Large Language Models via Performance Prediction
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A two-step sequential approach for hyperparameter selection in finite context models
