MongoDB - Build AI That Scales
Mini toolsPapers
Filter by company
-
Music Genre Classification: A Comparative Analysis of Classical Machine Learning and Deep Learning Approaches
-
Unlocking the Value of Text: Event-Driven Reasoning and Multi-Level Alignment for Time Series Forecasting
-
GLANCE: Gaze-Led Attention Network for Compressed Edge-inference
-
A Framework for Modeling Liquefaction-Induced Road Disruptions After Earthquakes: Implications for Emergency Response and Access in the Cascadia Region of North America
-
Evasive Intelligence: Lessons from Malware Analysis for Evaluating AI Agents
-
Evaluating Time Awareness and Cross-modal Active Perception of Large Models via 4D Escape Room Task
-
RoCo Challenge at AAAI 2026: Benchmarking Robotic Collaborative Manipulation for Assembly Towards Industrial Automation
-
Automated Counting of Stacked Objects in Industrial Inspection
-
Anchor then Polish for Low-light Enhancement
-
Agent Lifecycle Toolkit (ALTK): Reusable Middleware Components for Robust AI Agents
-
Seeing Beyond: Extrapolative Domain Adaptive Panoramic Segmentation
-
ViFeEdit: A Video-Free Tuner of Your Video Diffusion Transformer
-
TabKD: Tabular Knowledge Distillation through Interaction Diversity of Learned Feature Bins
-
Talk, Evaluate, Diagnose: User-aware Agent Evaluation with Automated Error Analysis
-
RSGen: Enhancing Layout-Driven Remote Sensing Image Generation with Diverse Edge Guidance
-
Agentic workflow enables the recovery of critical materials from complex feedstocks via selective precipitation
-
Grokking as a Variance-Limited Phase Transition: Spectral Gating and the Epsilon-Stability Threshold
-
Real-Time Oriented Object Detection Transformer in Remote Sensing Images
-
Understanding Reasoning in LLMs through Strategic Information Allocation under Uncertainty
-
Seeking SOTA: Time-Series Forecasting Must Adopt Taxonomy-Specific Evaluation to Dispel Illusory Gains
-
Federated Learning of Binary Neural Networks: Enabling Low-Cost Inference
-
Not All Invariants Are Equal: Curating Training Data to Accelerate Program Verification with SLMs
-
FreeTalk: Emotional Topology-Free 3D Talking Heads
-
ViX-Ray: A Vietnamese Chest X-Ray Dataset for Vision-Language Models
-
Beyond the Covariance Trap: Unlocking Generalization in Same-Subject Knowledge Editing for Large Language Models
-
SlovKE: A Large-Scale Dataset and LLM Evaluation for Slovak Keyphrase Extraction
-
Clinically Aware Synthetic Image Generation for Concept Coverage in Chest X-ray Models
-
Building Trust in PINNs: Error Estimation through Finite Difference Methods
-
Are Dilemmas and Conflicts in LLM Alignment Solvable? A View from Priority Graph
-
Vib2ECG: A Paired Chest-Lead SCG-ECG Dataset and Benchmark for ECG Reconstruction
-
DOT: Dynamic Knob Selection and Online Sampling for Automated Database Tuning
-
Bridging Local and Global Knowledge: Cascaded Mixture-of-Experts Learning for Near-Shortest Path Routing
-
InterveneBench: Benchmarking LLMs for Intervention Reasoning and Causal Study Design in Real Social Systems
-
A Framework and Prototype for a Navigable Map of Datasets in Engineering Design and Systems Engineering
-
Kimodo: Scaling Controllable Human Motion Generation
-
Can LLMs Model Incorrect Student Reasoning? A Case Study on Distractor Generation
-
Self-Distillation of Hidden Layers for Self-Supervised Representation Learning
-
Context-Length Robustness in Question Answering Models: A Comparative Empirical Study
-
Learning Latent Proxies for Controllable Single-Image Relighting
-
Anatomy of a Lie: A Multi-Stage Diagnostic Framework for Tracing Hallucinations in Vision-Language Models
-
Panoramic Affordance Prediction
-
The PokeAgent Challenge: Competitive and Long-Context Learning at Scale
-
Predictive Uncertainty in Short-Term PV Forecasting under Missing Data: A Multiple Imputation Approach
-
Lore: Repurposing Git Commit Messages as a Structured Knowledge Protocol for AI Coding Agents
-
Meta-TTRL: A Metacognitive Framework for Self-Improving Test-Time Reinforcement Learning in Unified Multimodal Models
-
Estimating Staged Event Tree Models via Hierarchical Clustering on the Simplex
-
Co-Design of Memory-Storage Systems for Workload Awareness with Interpretable Models
-
Severe Domain Shift in Skeleton-Based Action Recognition:A Study of Uncertainty Failure in Real-World Gym Environments
-
Unbiased and Biased Variance-Reduced Forward-Reflected-Backward Splitting Methods for Stochastic Composite Inclusions
-
Benchmarking Machine Learning Approaches for Polarization Mapping in Ferroelectrics Using 4D-STEM
