Mini toolsPapers
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RECLAIM: Cyclic Causal Discovery Amid Measurement Noise
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MKA: Memory-Keyed Attention for Efficient Long-Context Reasoning
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Neural collapse in the orthoplex regime
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RayMap3R: Inference-Time RayMap for Dynamic 3D Reconstruction
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Generating from Discrete Distributions Using Diffusions: Insights from Random Constraint Satisfaction Problems
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Position: Multi-Agent Algorithmic Care Systems Demand Contestability for Trustworthy AI
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Graph-based data-driven discovery of interpretable laws governing corona-induced noise and radio interference for high-voltage transmission lines
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Interpretable Operator Learning for Inverse Problems via Adaptive Spectral Filtering: Convergence and Discretization Invariance
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Bayesian Learning in Episodic Zero-Sum Games
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Towards Practical World Model-based Reinforcement Learning for Vision-Language-Action Models
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GaussianPile: A Unified Sparse Gaussian Splatting Framework for Slice-based Volumetric Reconstruction
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Beyond Token Eviction: Mixed-Dimension Budget Allocation for Efficient KV Cache Compression
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Reasoning Traces Shape Outputs but Models Won't Say So
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Causal Direct Preference Optimization for Distributionally Robust Generative Recommendation
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LassoFlexNet: Flexible Neural Architecture for Tabular Data
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Optimal low-rank stochastic gradient estimation for LLM training
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Seed1.8 Model Card: Towards Generalized Real-World Agency
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CFNN: Continued Fraction Neural Network
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A Modular LLM Framework for Explainable Price Outlier Detection
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AEGIS: From Clues to Verdicts -- Graph-Guided Deep Vulnerability Reasoning via Dialectics and Meta-Auditing
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Agentic AI and the next intelligence explosion
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Hear Both Sides: Efficient Multi-Agent Debate via Diversity-Aware Message Retention
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Weber's Law in Transformer Magnitude Representations: Efficient Coding, Representational Geometry, and Psychophysical Laws in Language Models
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ScaleEdit-12M: Scaling Open-Source Image Editing Data Generation via Multi-Agent Framework
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Diffusion Model for Manifold Data: Score Decomposition, Curvature, and Statistical Complexity
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A Multihead Continual Learning Framework for Fine-Grained Fashion Image Retrieval with Contrastive Learning and Exponential Moving Average Distillation
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From 50% to Mastery in 3 Days: A Low-Resource SOP for Localizing Graduate-Level AI Tutors via Shadow-RAG
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Modernizing Amdahl's Law: How AI Scaling Laws Shape Computer Architecture
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Exponential Family Discriminant Analysis: Generalizing LDA-Style Generative Classification to Non-Gaussian Models
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Sinkhorn Based Associative Memory Retrieval Using Spherical Hellinger Kantorovich Dynamics
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Attention in Space: Functional Roles of VLM Heads for Spatial Reasoning
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REVERE: Reflective Evolving Research Engineer for Scientific Workflows
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ToFormer: Towards Large-scale Scenario Depth Completion for Lightweight ToF Camera
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Towards Intelligent Geospatial Data Discovery: a knowledge graph-driven multi-agent framework powered by large language models
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Breaking the $O(\sqrt{T})$ Cumulative Constraint Violation Barrier while Achieving $O(\sqrt{T})$ Static Regret in Constrained Online Convex Optimization
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PAVE: Premise-Aware Validation and Editing for Retrieval-Augmented LLMs
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AI-Driven Multi-Agent Simulation of Stratified Polyamory Systems: A Computational Framework for Optimizing Social Reproductive Efficiency
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PDGMM-VAE: A Variational Autoencoder with Adaptive Per-Dimension Gaussian Mixture Model Priors for Nonlinear ICA
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EvidenceRL: Reinforcing Evidence Consistency for Trustworthy Language Models
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Pedestrian Crossing Intent Prediction via Psychological Features and Transformer Fusion
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Behavioral Engagement in VR-Based Sign Language Learning: Visual Attention as a Predictor of Performance and Temporal Dynamics
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MoCA3D: Monocular 3D Bounding Box Prediction in the Image Plane
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FDARxBench: Benchmarking Regulatory and Clinical Reasoning on FDA Generic Drug Assessment
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NCSTR: Node-Centric Decoupled Spatio-Temporal Reasoning for Video-based Human Pose Estimation
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When Agents Disagree: The Selection Bottleneck in Multi-Agent LLM Pipelines
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Scalable Cross-Facility Federated Learning for Scientific Foundation Models on Multiple Supercomputers
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Verifiable Error Bounds for Physics-Informed Neural Network Solutions of Lyapunov and Hamilton-Jacobi-Bellman Equations
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Subspace Kernel Learning on Tensor Sequences
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SeeClear: Reliable Transparent Object Depth Estimation via Generative Opacification
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DCG-Net: Dual Cross-Attention with Concept-Value Graph Reasoning for Interpretable Medical Diagnosis
