From Memorization to Creativity: LLM as a Designer of Novel Neural Architectures
Fuente:
arXiv
Saved in:
| Main Authors: | Khalid, Waleed, Ignatov, Dmitry, Timofte, Radu |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Delta-Based Neural Architecture Search: LLM Fine-Tuning via Code Diffs
by: Adhikari, Santosh Premi, et al.
Published: (2026)
by: Adhikari, Santosh Premi, et al.
Published: (2026)
From Code to Prediction: Fine-Tuning LLMs for Neural Network Performance Classification in NNGPT
by: Hanouneh, Mahmoud, et al.
Published: (2026)
by: Hanouneh, Mahmoud, et al.
Published: (2026)
From Brute Force to Semantic Insight: Performance-Guided Data Transformation Design with LLMs
by: Shrestha, Usha, et al.
Published: (2026)
by: Shrestha, Usha, et al.
Published: (2026)
A Retrieval-Augmented Generation Approach to Extracting Algorithmic Logic from Neural Networks
by: Khalid, Waleed, et al.
Published: (2025)
by: Khalid, Waleed, et al.
Published: (2025)
Preparation of Fractal-Inspired Computational Architectures for Advanced Large Language Model Analysis
by: Mittal, Yash, et al.
Published: (2025)
by: Mittal, Yash, et al.
Published: (2025)
Virtually Enriched NYU Depth V2 Dataset for Monocular Depth Estimation: Do We Need Artificial Augmentation?
by: Ignatov, Dmitry, et al.
Published: (2024)
by: Ignatov, Dmitry, et al.
Published: (2024)
LLM as a Neural Architect: Controlled Generation of Image Captioning Models Under Strict API Contracts
by: Jesani, Krunal, et al.
Published: (2025)
by: Jesani, Krunal, et al.
Published: (2025)
Real Image Denoising with Knowledge Distillation for High-Performance Mobile NPUs
by: Kayani, Faraz, et al.
Published: (2026)
by: Kayani, Faraz, et al.
Published: (2026)
Enhancing LLM-Based Neural Network Generation: Few-Shot Prompting and Efficient Validation for Automated Architecture Design
by: Duvvuri, Raghuvir, et al.
Published: (2025)
by: Duvvuri, Raghuvir, et al.
Published: (2025)
Closed-Loop LLM Discovery of Non-Standard Channel Priors in Vision Models
by: Uzun, Tolgay Atinc, et al.
Published: (2026)
by: Uzun, Tolgay Atinc, et al.
Published: (2026)
VIST-GPT: Ushering in the Era of Visual Storytelling with LLMs?
by: Gado, Mohamed, et al.
Published: (2025)
by: Gado, Mohamed, et al.
Published: (2025)
AugmentGest: Can Random Data Cropping Augmentation Boost Gesture Recognition Performance?
by: Aboudeshish, Nada, et al.
Published: (2025)
by: Aboudeshish, Nada, et al.
Published: (2025)
LEMUR Neural Network Dataset: Towards Seamless AutoML
by: Goodarzi, Arash Torabi, et al.
Published: (2025)
by: Goodarzi, Arash Torabi, et al.
Published: (2025)
MobileAgeNet: Lightweight Facial Age Estimation for Mobile Deployment
by: Kumar, Arun, et al.
Published: (2026)
by: Kumar, Arun, et al.
Published: (2026)
Learning Transformer-based World Models with Contrastive Predictive Coding
by: Burchi, Maxime, et al.
Published: (2025)
by: Burchi, Maxime, et al.
Published: (2025)
Accurate and Efficient World Modeling with Masked Latent Transformers
by: Burchi, Maxime, et al.
Published: (2025)
by: Burchi, Maxime, et al.
Published: (2025)
Seeking the Unfamiliar but Memorable: Conceptual Creativity as Meta-Learning
by: Ren, Mengye
Published: (2026)
by: Ren, Mengye
Published: (2026)
Convergence Theory for Iterative LLM-Based Neural Architecture Search: A Parametric Cross-Entropy Framework with Closed-Form Proxy Reliability
by: Adhikari, Santosh Premi, et al.
Published: (2026)
by: Adhikari, Santosh Premi, et al.
Published: (2026)
Zero-Shot Neural Architecture Search: Challenges, Solutions, and Opportunities
by: Li, Guihong, et al.
Published: (2023)
by: Li, Guihong, et al.
Published: (2023)
Simple Image Signal Processing using Global Context Guidance
by: Elezabi, Omar, et al.
Published: (2024)
by: Elezabi, Omar, et al.
Published: (2024)
InstructIR: High-Quality Image Restoration Following Human Instructions
by: Conde, Marcos V., et al.
Published: (2024)
by: Conde, Marcos V., et al.
Published: (2024)
Stereo Risk: A Continuous Modeling Approach to Stereo Matching
by: Liu, Ce, et al.
Published: (2024)
by: Liu, Ce, et al.
Published: (2024)
A Novel Metric for Detecting Memorization in Generative Models for Brain MRI Synthesis
by: Scardace, Antonio, et al.
Published: (2025)
by: Scardace, Antonio, et al.
Published: (2025)
Rawformer: Unpaired Raw-to-Raw Translation for Learnable Camera ISPs
by: Perevozchikov, Georgy, et al.
Published: (2024)
by: Perevozchikov, Georgy, et al.
Published: (2024)
Generalization and Memorization in Rectified Flow
by: Rao, Mingxing, et al.
Published: (2026)
by: Rao, Mingxing, et al.
Published: (2026)
Measuring Déjà vu Memorization Efficiently
by: Kokhlikyan, Narine, et al.
Published: (2025)
by: Kokhlikyan, Narine, et al.
Published: (2025)
Generative Modeling of Weights: Generalization or Memorization?
by: Zeng, Boya, et al.
Published: (2025)
by: Zeng, Boya, et al.
Published: (2025)
Localizing Memorization in SSL Vision Encoders
by: Wang, Wenhao, et al.
Published: (2024)
by: Wang, Wenhao, et al.
Published: (2024)
SegMate: Asymmetric Attention-Based Lightweight Architecture for Efficient Multi-Organ Segmentation
by: Bunea, Andrei-Alexandru, et al.
Published: (2026)
by: Bunea, Andrei-Alexandru, et al.
Published: (2026)
Resource-Efficient Iterative LLM-Based NAS with Feedback Memory
by: Gu, Xiaojie, et al.
Published: (2026)
by: Gu, Xiaojie, et al.
Published: (2026)
Déjà Vu Memorization in Vision-Language Models
by: Jayaraman, Bargav, et al.
Published: (2024)
by: Jayaraman, Bargav, et al.
Published: (2024)
Creative Portraiture: Exploring Creative Adversarial Networks and Conditional Creative Adversarial Networks
by: Hereu, Sebastian, et al.
Published: (2024)
by: Hereu, Sebastian, et al.
Published: (2024)
A Novel Convolutional Neural Network Architecture with a Continuous Symmetry
by: Liu, Yao, et al.
Published: (2023)
by: Liu, Yao, et al.
Published: (2023)
Memorization in 3D Shape Generation: An Empirical Study
by: Pu, Shu, et al.
Published: (2025)
by: Pu, Shu, et al.
Published: (2025)
Quantifying Cross-Modality Memorization in Vision-Language Models
by: Wen, Yuxin, et al.
Published: (2025)
by: Wen, Yuxin, et al.
Published: (2025)
Embedding Space Selection for Detecting Memorization and Fingerprinting in Generative Models
by: He, Jack, et al.
Published: (2024)
by: He, Jack, et al.
Published: (2024)
Optimizing Convolutional Neural Network Architecture
by: Balderas, Luis, et al.
Published: (2023)
by: Balderas, Luis, et al.
Published: (2023)
On Memorization in Diffusion Models
by: Gu, Xiangming, et al.
Published: (2023)
by: Gu, Xiangming, et al.
Published: (2023)
Beyond Memorization: Selective Learning for Copyright-Safe Diffusion Model Training
by: Kothandaraman, Divya, et al.
Published: (2025)
by: Kothandaraman, Divya, et al.
Published: (2025)
Multi-objective Differentiable Neural Architecture Search
by: Sukthanker, Rhea Sanjay, et al.
Published: (2024)
by: Sukthanker, Rhea Sanjay, et al.
Published: (2024)
Similar Items
-
Delta-Based Neural Architecture Search: LLM Fine-Tuning via Code Diffs
by: Adhikari, Santosh Premi, et al.
Published: (2026) -
From Code to Prediction: Fine-Tuning LLMs for Neural Network Performance Classification in NNGPT
by: Hanouneh, Mahmoud, et al.
Published: (2026) -
From Brute Force to Semantic Insight: Performance-Guided Data Transformation Design with LLMs
by: Shrestha, Usha, et al.
Published: (2026) -
A Retrieval-Augmented Generation Approach to Extracting Algorithmic Logic from Neural Networks
by: Khalid, Waleed, et al.
Published: (2025) -
Preparation of Fractal-Inspired Computational Architectures for Advanced Large Language Model Analysis
by: Mittal, Yash, et al.
Published: (2025)