Mini toolsPapers
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PRISM: Breaking the O(n) Memory Wall in Long-Context LLM Inference via O(1) Photonic Block Selection
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Mind over Space: Can Multimodal Large Language Models Mentally Navigate?
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MCLR: Improving Conditional Modeling in Visual Generative Models via Inter-Class Likelihood-Ratio Maximization and Establishing the Equivalence between Classifier-Free Guidance and Alignment Objectives
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Q-AGNN: Quantum-Enhanced Attentive Graph Neural Network for Intrusion Detection
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Modeling Quantum Federated Autoencoder for Anomaly Detection in IoT Networks
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Reasoner-Executor-Synthesizer: Scalable Agentic Architecture with Static O(1) Context Window
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HACMatch Semi-Supervised Rotation Regression with Hardness-Aware Curriculum Pseudo Labeling
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SSAM: Singular Subspace Alignment for Merging Multimodal Large Language Models
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When Visuals Aren't the Problem: Evaluating Vision-Language Models on Misleading Data Visualizations
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Feature Incremental Clustering with Generalization Bounds
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Spatio-Temporal Attention Enhanced Multi-Agent DRL for UAV-Assisted Wireless Networks with Limited Communications
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In-network Attack Detection with Federated Deep Learning in IoT Networks: Real Implementation and Analysis
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Cerebra: A Multidisciplinary AI Board for Multimodal Dementia Characterization and Risk Assessment
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Riemannian Geometry Speaks Louder Than Words: From Graph Foundation Model to Next-Generation Graph Intelligence
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SynLeaF: A Dual-Stage Multimodal Fusion Framework for Synthetic Lethality Prediction Across Pan- and Single-Cancer Contexts
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mSFT: Addressing Dataset Mixtures Overfitting Heterogeneously in Multi-task SFT
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INTRYGUE: Induction-Aware Entropy Gating for Reliable RAG Uncertainty Estimation
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DiT-Flow: Speech Enhancement Robust to Multiple Distortions based on Flow Matching in Latent Space and Diffusion Transformers
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Rule-State Inference (RSI): A Bayesian Framework for Compliance Monitoring in Rule-Governed Domains
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SARe: Structure-Aware Large-Scale 3D Fragment Reassembly
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Towards Multimodal Time Series Anomaly Detection with Semantic Alignment and Condensed Interaction
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AgenticRec: End-to-End Tool-Integrated Policy Optimization for Ranking-Oriented Recommender Agents
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AdaEdit: Adaptive Temporal and Channel Modulation for Flow-Based Image Editing
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Rateless DeepJSCC for Broadcast Channels: a Rate-Distortion-Complexity Tradeoff
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FAAR: Format-Aware Adaptive Rounding for NVFP4
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4DGS360: 360° Gaussian Reconstruction of Dynamic Objects from a Single Video
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Efficient Zero-Shot AI-Generated Image Detection
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Proximal Policy Optimization in Path Space: A Schrödinger Bridge Perspective
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PGR-Net: Prior-Guided ROI Reasoning Network for Brain Tumor MRI Segmentation
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Dual-level Adaptation for Multi-Object Tracking: Building Test-Time Calibration from Experience and Intuition
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EnterpriseLab: A Full-Stack Platform for developing and deploying agents in Enterprises
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Silicon Bureaucracy and AI Test-Oriented Education: Contamination Sensitivity and Score Confidence in LLM Benchmarks
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No Dense Tensors Needed: Fully Sparse Object Detection on Event-Camera Voxel Grids
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Engineering Distributed Governance for Regional Prosperity: A Socio-Technical Framework for Mitigating Under-Vibrancy via Human Data Engines
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FedCVU: Federated Learning for Cross-View Video Understanding
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MISApp: Multi-Hop Intent-Aware Session Graph Learning for Next App Prediction
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Towards Secure Retrieval-Augmented Generation: A Comprehensive Review of Threats, Defenses and Benchmarks
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TrustFed: Enabling Trustworthy Medical AI under Data Privacy Constraints
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A Comparative Analysis of LLM Memorization at Statistical and Internal Levels: Cross-Model Commonalities and Model-Specific Signatures
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OmniFM: Toward Modality-Robust and Task-Agnostic Federated Learning for Heterogeneous Medical Imaging
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Cross-Scenario Deraining Adaptation with Unpaired Data: Superpixel Structural Priors and Multi-Stage Pseudo-Rain Synthesis
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TAMTRL: Teacher-Aligned Reward Reshaping for Multi-Turn Reinforcement Learning in Long-Context Compression
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HumanOmni-Speaker: Identifying Who said What and When
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Optimal Memory Encoding Through Fluctuation-Response Structure
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Rethinking Multimodal Fusion for Time Series: Auxiliary Modalities Need Constrained Fusion
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PRM-as-a-Judge: A Dense Evaluation Paradigm for Fine-Grained Robotic Auditing
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Optimizing Multi-Agent Weather Captioning via Text Gradient Descent: A Training-Free Approach with Consensus-Aware Gradient Fusion
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SPINONet: Scalable Spiking Physics-informed Neural Operator for Computational Mechanics Applications
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Thinking Deeper, Not Longer: Depth-Recurrent Transformers for Compositional Generalization
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CoNBONet: Conformalized Neuroscience-inspired Bayesian Operator Network for Reliability Analysis
