MongoDB - Build AI That Scales
Mini toolsPapers
Filter by company
-
AD-Reasoning: Multimodal Guideline-Guided Reasoning for Alzheimer's Disease Diagnosis
-
A Step Toward Federated Pretraining of Multimodal Large Language Models
-
Enhanced Mycelium of Thought (EMoT): A Bio-Inspired Hierarchical Reasoning Architecture with Strategic Dormancy and Mnemonic Encoding
-
ConceptKT: A Benchmark for Concept-Level Deficiency Prediction in Knowledge Tracing
-
The impact of sensor placement on graph-neural-network-based leakage detection
-
PosterIQ: A Design Perspective Benchmark for Poster Understanding and Generation
-
When Understanding Becomes a Risk: Authenticity and Safety Risks in the Emerging Image Generation Paradigm
-
LLMpedia: A Transparent Framework to Materialize an LLM's Encyclopedic Knowledge at Scale
-
Brain-Inspired Multimodal Spiking Neural Network for Image-Text Retrieval
-
Knowledge-Guided Manipulation Using Multi-Task Reinforcement Learning
-
Bridging the Evaluation Gap: Standardized Benchmarks for Multi-Objective Search
-
LGTM: Training-Free Light-Guided Text-to-Image Diffusion Model via Initial Noise Manipulation
-
Dual-Graph Multi-Agent Reinforcement Learning for Handover Optimization
-
Towards Effective Experiential Learning: Dual Guidance for Utilization and Internalization
-
LaDy: Lagrangian-Dynamic Informed Network for Skeleton-based Action Segmentation via Spatial-Temporal Modulation
-
KCLNet: Electrically Equivalence-Oriented Graph Representation Learning for Analog Circuits
-
ReMemNav: A Rethinking and Memory-Augmented Framework for Zero-Shot Object Navigation
-
Causality-Driven Disentangled Representation Learning in Multiplex Graphs
-
Granular Ball Guided Stable Latent Domain Discovery for Domain-General Crowd Counting
-
Comparative analysis of dual-form networks for live land monitoring using multi-modal satellite image time series
-
Toward a Multi-Layer ML-Based Security Framework for Industrial IoT
-
Mixed-signal implementation of feedback-control optimizer for single-layer Spiking Neural Networks
-
Retinal Layer Segmentation in OCT Images With 2.5D Cross-slice Feature Fusion Module for Glaucoma Assessment
-
Combi-CAM: A Novel Multi-Layer Approach for Explainable Image Geolocalization
-
The Alignment Tax: Response Homogenization in Aligned LLMs and Its Implications for Uncertainty Estimation
-
Alignment Reduces Expressed but Not Encoded Gender Bias: A Unified Framework and Study
-
Likelihood hacking in probabilistic program synthesis
-
On Gossip Algorithms for Machine Learning with Pairwise Objectives
-
DyMRL: Dynamic Multispace Representation Learning for Multimodal Event Forecasting in Knowledge Graph
-
Reservoir-Based Graph Convolutional Networks
-
MedAidDialog: A Multilingual Multi-Turn Medical Dialogue Dataset for Accessible Healthcare
-
Spectral Scalpel: Amplifying Adjacent Action Discrepancy via Frequency-Selective Filtering for Skeleton-Based Action Segmentation
-
Efficient Controller Learning from Human Preferences and Numerical Data Via Multi-Modal Surrogate Models
-
Tutor-Student Reinforcement Learning: A Dynamic Curriculum for Robust Deepfake Detection
-
A Longitudinal Analysis of the CEC Single-Objective Competitions (2010-2024) and Implications for Variational Quantum Optimization
-
Linear-Nonlinear Fusion Neural Operator for Partial Differential Equations
-
LightSplat: Fast and Memory-Efficient Open-Vocabulary 3D Scene Understanding in Five Seconds
-
A visual observation on the geometry of UMAP projections of the difference vectors of antonym and synonym word pair embeddings
-
A convergent Plug-and-Play Majorization-Minimization algorithm for Poisson inverse problems
-
CarePilot: A Multi-Agent Framework for Long-Horizon Computer Task Automation in Healthcare
-
Heuristic-inspired Reasoning Priors Facilitate Data-Efficient Referring Object Detection
-
Walma: Learning to See Memory Corruption in WebAssembly
-
Modeling Spatiotemporal Neural Frames for High Resolution Brain Dynamic
-
Unlocking Few-Shot Capabilities in LVLMs via Prompt Conditioning and Head Selection
-
TsetlinWiSARD: On-Chip Training of Weightless Neural Networks using Tsetlin Automata on FPGAs
-
Quantum Neural Physics: Solving Partial Differential Equations on Quantum Simulators using Quantum Convolutional Neural Networks
-
RefReward-SR: LR-Conditioned Reward Modeling for Preference-Aligned Super-Resolution
-
A Deep Dive into Scaling RL for Code Generation with Synthetic Data and Curricula
-
Invisible Threats from Model Context Protocol: Generating Stealthy Injection Payload via Tree-based Adaptive Search
-
IPatch: A Multi-Resolution Transformer Architecture for Robust Time-Series Forecasting
