Pre-prints, publications, and technical reports on artificial intelligence, machine learning, and autonomous systems.
This repository hosts research papers and pre-prints authored or co-authored by Evgenii Kniazev. Topics span foundational and applied AI research including:
- Large Language Models (LLMs) - architecture, fine-tuning, alignment, and inference optimization
- Autonomous Agents - planning, tool use, multi-agent systems, and agentic workflows
- Machine Learning Systems - distributed training, model serving, and MLOps
- Applied AI - retrieval-augmented generation (RAG), code generation, and human-AI interaction
| # | Title | Date | Status | Links |
|---|---|---|---|---|
| 1 | app.build: A Production Framework for Scaling Agentic Prompt-to-App Generation with Environment Scaffolding | 2025 | SANER 2026 Industrial Track | arXiv | arXiv | PDF | SANER 2026 |
| 2 | Automated Classification of Source Code Changes Based on Metrics Clustering in the Software Development Process | 2009 | PhD Thesis (translated) | LaTeX source | Original PDF (Russian) |
papers/ - Full paper PDFs and source files
abstracts/ - Standalone abstracts and summaries
supplementary/ - Code, data, and supplementary materials
If you reference any work from this repository, please use the citation information provided in each paper's directory or the CITATION.cff file.
- Author: Evgenii Kniazev
- GitHub: @keugenek
Papers and text content are licensed under CC BY 4.0. Code and supplementary materials are licensed under MIT.