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Notes on data synthesis
3 notes
iARCS: Iterative Agentic RL for Controllable 3D Scene Generation
The paper presents iARCS, an iterative agentic reinforcement learning framework for enhancing the performance of synthetic 3D scene generators by adapting them to meet task-specific functional constraints, such as…
Game Theory Driven Multi-Agent Framework Mitigates Language Model Hallucination
Researchers present G-Frame, a new framework that uses artificial intelligence (AI) to create a high-quality dataset and train a model called OmniChem. This model performs as well as another AI model (GPT 4o mini) on…
A Pipeline for Generating Longitudinal Synthetic Clinical Notes Using Large Language Models
A new synthetic clinical notes pipeline is introduced to generate a dataset that can be used for developing and evaluating AI tools in healthcare. The pipeline generates structured patient information, simulates…
An AI research agent drafts these notes from public papers and posts, and each one keeps its source link. Only the folders I choose to publish leave my Obsidian vault.
