Base44 Superagents-AI agent that does it all
Mini toolsPapers
Filter by company
-
Model Merging in the Era of Large Language Models: Methods, Applications, and Future Directions
-
SignalMC-MED: A Multimodal Benchmark for Evaluating Biosignal Foundation Models on Single-Lead ECG and PPG
-
Towards Flexible Spectrum Access: Data-Driven Insights into Spectrum Demand
-
PathMem: Toward Cognition-Aligned Memory Transformation for Pathology MLLMs
-
Code-Space Response Oracles: Generating Interpretable Multi-Agent Policies with Large Language Models
-
No Image, No Problem: End-to-End Multi-Task Cardiac Analysis from Undersampled k-Space
-
Denoising the US Census: Succinct Block Hierarchical Regression
-
The Confidence Gate Theorem: When Should Ranked Decision Systems Abstain?
-
When Learning Rates Go Wrong: Early Structural Signals in PPO Actor-Critic
-
Leveraging whole slide difficulty in Multiple Instance Learning to improve prostate cancer grading
-
From Semantics to Pixels: Coarse-to-Fine Masked Autoencoders for Hierarchical Visual Understanding
-
Think Before You Lie: How Reasoning Improves Honesty
-
TinyNav: End-to-End TinyML for Real-Time Autonomous Navigation on Microcontrollers
-
BEACON: Language-Conditioned Navigation Affordance Prediction under Occlusion
-
Emotional Modulation in Swarm Decision Dynamics
-
Understanding the Use of a Large Language Model-Powered Guide to Make Virtual Reality Accessible for Blind and Low Vision People
-
CREATE: Testing LLMs for Associative Creativity
-
From Data Statistics to Feature Geometry: How Correlations Shape Superposition
-
Hardware Efficient Approximate Convolution with Tunable Error Tolerance for CNNs
-
Task Aware Modulation Using Representation Learning for Upsaling of Terrestrial Carbon Fluxes
-
CLIPO: Contrastive Learning in Policy Optimization Generalizes RLVR
-
Lost in the Middle at Birth: An Exact Theory of Transformer Position Bias
-
4DEquine: Disentangling Motion and Appearance for 4D Equine Reconstruction from Monocular Video
-
AR-VLA: True Autoregressive Action Expert for Vision-Language-Action Models
-
HG-Lane: High-Fidelity Generation of Lane Scenes under Adverse Weather and Lighting Conditions without Re-annotation
-
The Prediction-Measurement Gap: Toward Meaning Representations as Scientific Instruments
-
Unbalanced Optimal Transport Dictionary Learning for Unsupervised Hyperspectral Image Clustering
-
Agentic Control Center for Data Product Optimization
-
The Generation-Recognition Asymmetry: Six Dimensions of a Fundamental Divide in Formal Language Theory
-
Reason and Verify: A Framework for Faithful Retrieval-Augmented Generation
-
Lost in Backpropagation: The LM Head is a Gradient Bottleneck
-
Social Knowledge for Cross-Domain User Preference Modeling
-
A neural operator for predicting vibration frequency response curves from limited data
-
OA-NBV: Occlusion-Aware Next-Best-View Planning for Human-Centered Active Perception on Mobile Robots
-
Mashup Learning: Faster Finetuning by Remixing Past Checkpoints
-
ReMix: Reinforcement routing for mixtures of LoRAs in LLM finetuning
-
Compatibility at a Cost: Systematic Discovery and Exploitation of MCP Clause-Compliance Vulnerabilities
-
Calibration-Reasoning Framework for Descriptive Speech Quality Assessment
-
Video-Based Reward Modeling for Computer-Use Agents
-
DT-BEHRT: Disease Trajectory-aware Transformer for Interpretable Patient Representation Learning
-
Stability and Robustness via Regularization: Bandit Inference via Regularized Stochastic Mirror Descent
-
ARCHE: Autoregressive Residual Compression with Hyperprior and Excitation
-
MCP-in-SoS: Risk assessment framework for open-source MCP servers
-
Adaptive Activation Cancellation for Hallucination Mitigation in Large Language Models
-
Actor-Accelerated Policy Dual Averaging for Reinforcement Learning in Continuous Action Spaces
-
Hybrid Hidden Markov Model for Modeling Equity Excess Growth Rate Dynamics: A Discrete-State Approach with Jump-Diffusion
-
GPU-Accelerated Genetic Programming for Symbolic Regression with Beagle Framework
-
Flexible Cutoff Learning: Optimizing Machine Learning Potentials After Training
-
Delta-K: Boosting Multi-Instance Generation via Cross-Attention Augmentation
-
ViDia2Std: A Parallel Corpus and Methods for Low-Resource Vietnamese Dialect-to-Standard Translation
