{"total":18,"rows":[{"id":"2504.19267","title":"VIST-GPT: Ushering in the Era of Visual Storytelling with LLMs?","created":"2025-04-27","cited_by_count":11,"area":null},{"id":"2511.07329","title":"Preparation of Fractal-Inspired Computational Architectures for Advanced Large Language Model Analysis","created":"2025-11-10","cited_by_count":11,"area":null},{"id":"2506.07216","title":"AugmentGest: Can Random Data Cropping Augmentation Boost Gesture Recognition Performance?","created":"2025-06-08","cited_by_count":10,"area":null},{"id":"2512.24120","title":"Enhancing LLM-Based Neural Network Generation: Few-Shot Prompting and Efficient Validation for Automated Architecture Design","created":"2025-12-30","cited_by_count":10,"area":null},{"id":"2601.02997","title":"From Memorization to Creativity: LLM as a Designer of Novel Neural Architectures","created":"2026-01-06","cited_by_count":10,"area":null},{"id":"2512.14706","title":"LLM as a Neural Architect: Controlled Generation of Image Captioning Models Under Strict API Contracts","created":"2025-12-07","cited_by_count":9,"area":null},{"id":"2603.12091","title":"Resource-Efficient Iterative LLM-Based NAS with Feedback Memory","created":"2026-03-12","cited_by_count":7,"area":null},{"id":"2601.08517","title":"Closed-Loop LLM Discovery of Non-Standard Channel Priors in Vision Models","created":"2026-01-13","cited_by_count":6,"area":null},{"id":"2605.04903","title":"Delta-Based Neural Architecture Search: LLM Fine-Tuning via Code Diffs","created":"2026-05-06","cited_by_count":3,"area":null},{"id":"2604.17007","title":"MobileAgeNet: Lightweight Facial Age Estimation for Mobile Deployment","created":"2026-04-18","cited_by_count":2,"area":null},{"id":"2605.03680","title":"Real Image Denoising with Knowledge Distillation for High-Performance Mobile NPUs","created":"2026-05-05","cited_by_count":2,"area":null},{"id":"2605.30103","title":"Convergence Theory for Iterative LLM-Based Neural Architecture Search: A Parametric Cross-Entropy Framework with Closed-Form Proxy Reliability","created":"2026-05-28","cited_by_count":1,"area":null},{"id":"2605.03686","title":"From Code to Prediction: Fine-Tuning LLMs for Neural Network Performance Classification in NNGPT","created":"2026-05-05","cited_by_count":0,"area":null},{"id":"2606.20933","title":"Towards Robust Training in NNGPT AutoML Pipeline: A Loss-Optimizer Pairing Selection Study","created":"2026-06-18","cited_by_count":0,"area":null},{"id":"2607.05704","title":"Curating Same-Family Neural Networks for LLM-Guided Model Improvement: A Controlled Case Study","created":"2026-07-06","cited_by_count":0,"area":null},{"id":"2607.08511","title":"Systematic Evaluation of Learning Rate Scheduling Strategies Across Heterogeneous Architectures","created":"2026-07-09","cited_by_count":0,"area":null},{"id":"2607.11591","title":"Similarity-Guided Curriculum Fine-Tuning of LLMs for Neural Architecture Synthesis","created":"2026-07-13","cited_by_count":0,"area":null},{"id":"2607.20516","title":"Scaling Closed-Loop Feature Channel Configuration with LLMs","created":"2026-07-07","cited_by_count":0,"area":null}],"next_cursor":null}