SOTAVerified

Data Interaction

Measure and value the train data interaction to interpret their contribution to the model's performance.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–21 of 21 papers

TitleStatusHype
Demonstration of DB-GPT: Next Generation Data Interaction System Empowered by Large Language ModelsCode11
Meta Prompting for AI SystemsCode2
Crab: A Unified Audio-Visual Scene Understanding Model with Explicit CooperationCode2
Improved Nonlinear Transform Source-Channel Coding to Catalyze Semantic CommunicationsCode1
Continuous-Aperture Array Based OAM High-Capacity Communication For Metaverse—0
TRIVEA: Transparent Ranking Interpretation using Visual Explanation of Black-Box Algorithmic Rankers—0
Augmenting a Large Language Model with a Combination of Text and Visual Data for Conversational Visualization of Global Geospatial Data—0
Blockchain-Enabled Variational Information Bottleneck for Data Extraction Based on Mutual Information in Internet of Vehicles—0
Contextual Chart Generation for Cyber Deception—0
Topology Design for GNSSs Considering Both Inter-satellite Links and Ground-satellite Links—0
Towards user-centered interactive medical image segmentation in VR with an assistive AI agent—0
A Signaling Game Approach to Databases Querying and Interaction—0
Minimizing Risk Through Minimizing Model-Data Interaction: A Protocol For Relying on Proxy Tasks When Designing Child Sexual Abuse Imagery Detection Models—0
Multi-Agent Actor-Critic Generative AI for Query Resolution and Analysis—0
Natural Language Interfaces for Tabular Data Querying and Visualization: A Survey—0
Optimizing Data Shapley Interaction Calculation from O(2^n) to O(t n^2) for KNN models—0
Sim2real for Reinforcement Learning Driven Next Generation Networks—0
Stochastic Real-Time Economic Dispatch for Integrated Electric and Gas Systems Considering Uncertainty Propagation and Pipeline Leakage—0
Deep Learning Development Environment in Virtual RealityCode0
A Unified Comparison of User Modeling Techniques for Predicting Data Interaction and Detecting Exploration BiasCode0
Multi-Agent Reinforcement Learning Resources Allocation Method Using Dueling Double Deep Q-Network in Vehicular NetworksCode0
Show:102550

No leaderboard results yet.