Resource-Efficient Iterative LLM-Based NAS with Feedback Memory

PDF Viewer

BUILDER'S SANDBOX

Build This Paper

Use an AI coding agent to implement this research.

OpenAI Codex
OpenAI CodexAI Agent

Lightweight coding agent in your terminal.

Claude Code
Claude CodeAI Agent

Agentic coding tool for terminal workflows.

AntiGravity IDE
AntiGravity IDEScaffolding

AI agent mindset installer and workflow scaffolder.

Cursor
CursorIDE

AI-first code editor built on VS Code.

VS Code
VS CodeIDE

Free, open-source editor by Microsoft.

Estimated $9K - $13K over 6-10 weeks.

See exactly what it costs to build this -- with 3 comparable funded startups.

7-day free trial. Cancel anytime.

Discover the researchers behind this paper and find similar experts.

7-day free trial. Cancel anytime.

References (33)

[1]
Closed-Loop LLM Discovery of Non-Standard Channel Priors in Vision Models
2026Tolgay Atinc Uzun, Dmitry Ignatov et al.
[2]
From Brute Force to Semantic Insight: Performance-Guided Data Transformation Design with LLMs
2026Usha Shrestha, Dmitry Ignatov et al.
[3]
From Memorization to Creativity: LLM as a Designer of Novel Neural-Architectures
2026Waleed Khalid, Dmitry Ignatov et al.
[4]
Enhancing LLM-Based Neural Network Generation: Few-Shot Prompting and Efficient Validation for Automated Architecture Design
2025Chandini Vysyaraju, Raghuvir Duvvuri et al.
[5]
LLM as a Neural Architect: Controlled Generation of Image Captioning Models Under Strict API Contracts
2025Krunal Jesani, Dmitry Ignatov et al.
[6]
A Retrieval-Augmented Generation Approach to Extracting Algorithmic Logic from Neural Networks
2025Waleed Khalid, Dmitry Ignatov et al.
[7]
NNGPT: Rethinking AutoML with Large Language Models
2025Roman Kochnev, Waleed Khalid et al.
[8]
Preparation of Fractal-Inspired Computational Architectures for Advanced Large Language Model Analysis
2025Yash Mittal, Dmitry Ignatov et al.
[9]
AugmentGest: Can Random Data Cropping Augmentation Boost Gesture Recognition Performance?
2025Nada Aboudeshish, Dmitry Ignatov et al.
[10]
VIST-GPT: Ushering in the Era of Visual Storytelling with LLMs?
2025M. Gado, Towhid Taliee et al.
[11]
LEMUR Neural Network Dataset: Towards Seamless AutoML
2025A. Goodarzi, Roman Kochnev et al.
[12]
Large Language Model Assisted Adversarial Robustness Neural Architecture Search
2024Rui Zhong, Yang Cao et al.
[13]
The Unreasonable Effectiveness Of Early Discarding After One Epoch In Neural Network Hyperparameter Optimization
2024Romain Egele, Felix Mohr et al.
[14]
ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution
2024Haoran Ye, Jiarui Wang et al.
[15]
Mathematical discoveries from program search with large language models
2023Bernardino Romera-Paredes, M. Barekatain et al.
[16]
Large Language Models as Optimizers
2023Chengrun Yang, Xuezhi Wang et al.
[17]
Zero-Shot Neural Architecture Search: Challenges, Solutions, and Opportunities
2023Guihong Li, Duc-Tuong Hoang et al.
[18]
Neural Architecture Search: Insights from 1000 Papers
2023Colin White, Mahmoud Safari et al.
[19]
Evaluating Large Language Models Trained on Code
2021Mark Chen, Jerry Tworek et al.
[20]
BM-NAS: Bilevel Multimodal Neural Architecture Search
2021Yihang Yin, Siyu Huang et al.

Showing 20 of 33 references

Founder's Pitch

"A resource-efficient pipeline for Neural Architecture Search using LLMs to optimize CNN designs on consumer-grade hardware."

Neural Architecture SearchScore: 6View PDF ↗

Commercial Viability Breakdown

0-10 scale

High Potential

1/4 signals

2.5

Quick Build

3/4 signals

7.5

Series A Potential

0/4 signals

0

Sources used for this analysis

arXiv Paper

Full-text PDF analysis of the research paper

GitHub Repository

Code availability, stars, and contributor activity

Citation Network

Semantic Scholar citations and co-citation patterns

Community Predictions

Crowd-sourced unicorn probability assessments

Analysis model: GPT-4o · Last scored: 3/12/2026

Explore the full citation network and related research.

7-day free trial. Cancel anytime.

Understand the commercial significance and market impact.

7-day free trial. Cancel anytime.

Get detailed profiles of the research team.

7-day free trial. Cancel anytime.

Related Papers

Loading…