Automatic Generation of Children's Song Lyrics and Improvement of Lyric Quality Based on Large Language Model
Research and development project focused on creative language generation and quality improvement with large language models.
From ideas
to execution.
Research infrastructure and applied AI systems, built with reliability in mind.
AutoLabOS
Research should
not be a black box.
An operating system for
autonomous research.
AutoLabOS turns research execution into a governed, inspectable, and resumable workflow.
- Literature
- Research map
- Hypothesis
- Experiment plan
- Execution
- Review gate
- Evidence
- Manuscript
01 / Inside AutoLabOS
AutoLabOS is a research systems project for running literature-grounded, checkpointed, and inspectable workflows from paper collection to manuscript drafting. Instead of treating research as a single generation step, it structures the process as a governed loop with explicit review, evidence tracking, and resumable state.
Fixed multi-stage workflow for research execution instead of open-ended agent drift
Checkpointed runs with inspectable artifacts and resumable progress
Evidence-bound claim review that limits conclusions to what the run actually supports
Terminal and web interfaces for operating autonomous research pipelines
02 / Other selected systems
Integrated Framework for Automatic Neural Network Generation and Deployment Optimized for Runtime Environments
Developed an end-to-end framework for generating and deploying neural networks across runtime-constrained environments.