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Notes on synthetic data
10 notes
SciWalker: Synthesizing Scientific Coding Problems with Operator Graphs and Execution Feedback
The preprint describes a framework for synthesizing scientific coding problems by sampling operator chains from graphs built from scientific library interfaces and operation modes. An LLM generates problem statements…
Synthetic Hospital: An Open, Verifiable, Physician-Validated Longitudinal EHR Benchmark
The preprint describes a fully synthetic, fact-grounded longitudinal EHR benchmark built from public medical education material, with no PHI. The abstract reports 1,268 patients and 5,602 encounters, ICD-10-CM/SNOMED…
Self-Play Pretraining with Zero Data
The paper presents a proof-of-concept in which a generator and learner train in tandem without natural training data. The generator proposes programs interpreted by a universal Turing machine to produce byte sequences…
Improving the Realism of Synthetic Clinical Benchmarks Under Utility Constraints
The authors propose a method to improve the realism of synthetic clinical benchmarks for enterprise AI agents while maintaining their utility. They focus on healthcare settings where operational data is hard to access…
EgoGenesis: Egocentric World-Action Modeling with Online Anchored Projective Memory and Action-3D RoPE
The research presents a new method, EgoGenesis, for generating high-quality manipulation videos in an egocentric world for training embodied AI. The method uses a pretrained video generation prior and introduces two…
EgoGenesis: Egocentric World-Action Modeling with Online Anchored Projective Memory and Action-3D RoPE
The authors present a method called EgoGenesis for creating synthetic manipulation videos for embodied AI using egocentric video. The method uses a pretrained video generation prior and introduces two geometry-aware…
ScratchSim: A Procedural Synthetic Data Pipeline for Surface Scratch Detection
The paper introduces ScratchSim, a procedural rendering pipeline that generates large-scale synthetic data for surface scratch detection in industrial quality control. This pipeline uses BlenderProc and produces…
Synthetic data generation framework for quality control automation in gravure printing
Researchers have developed a synthetic data generation framework to help automate the quality control process in gravure printing. The framework generates high-fidelity images of common printing defects and uses them…
VLK: Learning Humanoid Loco-Manipulation from Synthetic Interactions in Reconstructed Scenes
Researchers present a method to learn humanoid locomotion and manipulation tasks by synthetically generating vision-language-kinematics (VLK) supervision in reconstructed scenes. They produce 48,000 paired trajectories…
A Pipeline for Generating Longitudinal Synthetic Clinical Notes Using Large Language Models
A new pipeline for creating synthetic clinical notes is introduced to help develop AI systems in healthcare without compromising privacy. The pipeline generates structured, semi-structured, and unstructured clinical…
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