SOTAVerified

Dataset Generation

The task involves enhancing the training of target application (e.g. autonomous driving systems) by generating datasets of diverse and critical elements (e.g. traffic scenarios). Traditional methods rely on expensive and limited datasets, which often fail to capture rare but essential situations that can pose risks during testing.

Papers

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Showing 151–200 of 308 papers

TitleStatusHype
Injecting New Knowledge into Large Language Models via Supervised Fine-Tuning—0
Investigating Effect of Dialogue History in Multilingual Task Oriented Dialogue Systems—0
Technical report of a DMD-based Characterization Method for Vision Sensors—0
iTRI-QA: a Toolset for Customized Question-Answer Dataset Generation Using Language Models for Enhanced Scientific Research—0
VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition—0
The Big Data Myth: Using Diffusion Models for Dataset Generation to Train Deep Detection Models—0
Channel Modeling Aided Dataset Generation for AI-Enabled CSI Feedback: Advances, Challenges, and Solutions—0
JeDi: Joint-Image Diffusion Models for Finetuning-Free Personalized Text-to-Image Generation—0
Know Your RAG: Dataset Taxonomy and Generation Strategies for Evaluating RAG Systems—0
Vec2Face: Scaling Face Dataset Generation with Loosely Constrained Vectors—0
Labeling without Seeing? Blind Annotation for Privacy-Preserving Entity Resolution—0
Large Scale Foundation Models for Intelligent Manufacturing Applications: A Survey—0
CETBench: A Novel Dataset constructed via Transformations over Programs for Benchmarking LLMs for Code-Equivalence Checking—0
Anchored Alignment for Self-Explanations Enhancement—0
Cashew dataset generation using augmentation and RaLSGAN and a transfer learning based tinyML approach towards disease detection—0
Through Fog High-Resolution Imaging Using Millimeter Wave Radar—0
Analyzing the Nuances of Transformers' Polynomial Simplification Abilities—0
Learning Wireless Data Knowledge Graph for Green Intelligent Communications: Methodology and Experiments—0
FTSmartAudit: A Knowledge Distillation-Enhanced Framework for Automated Smart Contract Auditing Using Fine-Tuned LLMs—0
Boundary Aware Multi-Focus Image Fusion Using Deep Neural Network—0
Block and Detail: Scaffolding Sketch-to-Image Generation—0
A large-scale, physically-based synthetic dataset for satellite pose estimation—0
Towards a methodology for addressing missingness in datasets, with an application to demographic health datasets—0
Low-Biased General Annotated Dataset Generation—0
LSD3K: A Benchmark for Smoke Removal from Laparoscopic Surgery Images—0
Accelerating PDE Data Generation via Differential Operator Action in Solution Space—0
Measuring and Mitigating Hallucinations in Vision-Language Dataset Generation for Remote Sensing—0
Methodology for the Automated Metadata-Based Classification of Incriminating Digital Forensic Artefacts—0
Exploring the Impacts from Datasets to Monocular Depth Estimation (MDE) Models with MineNavi—0
MirrorVerse: Pushing Diffusion Models to Realistically Reflect the World—0
Towards Real-World Category-level Articulation Pose Estimation—0
Benchmark dataset and instance generator for Real-World Three-Dimensional Bin Packing Problems—0
ML-based Approaches for Wireless NLOS Localization: Input Representations and Uncertainty Estimation—0
Model-Driven Dataset Generation for Data-Driven Battery SOH Models—0
BEHAVIOR Vision Suite: Customizable Dataset Generation via Simulation—0
MotorFactory: A Blender Add-on for Large Dataset Generation of Small Electric Motors—0
Movie2Story: A framework for understanding videos and telling stories in the form of novel text—0
Behavioral Entropy-Guided Dataset Generation for Offline Reinforcement Learning—0
Multi-Domain ABSA Conversation Dataset Generation via LLMs for Real-World Evaluation and Model Comparison—0
Multi-fingered Robotic Hand Grasping in Cluttered Environments through Hand-object Contact Semantic Mapping—0
MultiFloodSynth: Multi-Annotated Flood Synthetic Dataset Generation—0
MVTrans: Multi-View Perception of Transparent Objects—0
Neural Error Covariance Estimation for Precise LiDAR Localization—0
Cut-and-Paste Dataset Generation for Balancing Domain Gaps in Object Instance Detection—0
Neuro-Symbolic Scene Graph Conditioning for Synthetic Image Dataset Generation—0
Visual-tactile Fusion for Transparent Object Grasping in Complex Backgrounds—0
Accelerating Edge Intelligence via Integrated Sensing and Communication—0
AutoVCoder: A Systematic Framework for Automated Verilog Code Generation using LLMs—0
On Deep Learning for computing the Dynamic Initial Margin and Margin Value Adjustment—0
On Deep Learning for Radio Resource Management in A Non-stationary Radio Environment—0
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