Image de couverture de livre

Structured Progressive Knowledge Activation for LLM-Driven Neural Architecture Search

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Liu, Zhen, Liu, Yuhan, Wang, Jinjun, Song, Wei, Liu, Jianyi, Fu, Jingwen
Format:	Preprint
Publié:	2026
Sujets:	Machine Learning Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Knowledge-aware Evolutionary Graph Neural Architecture Search
par: Wang, Chao, et autres
Publié: (2024)

AutoSTF: Decoupled Neural Architecture Search for Cost-Effective Automated Spatio-Temporal Forecasting
par: Lyu, Tengfei, et autres
Publié: (2024)

Multi-Objective Neural Architecture Search by Learning Search Space Partitions
par: Zhao, Yiyang, et autres
Publié: (2024)

Collaborative Adaptive Curriculum for Progressive Knowledge Distillation
par: Liu, Jing, et autres
Publié: (2026)

Graph Neural Architecture Search with GPT-4
par: Wang, Haishuai, et autres
Publié: (2023)

Steered LLM Activations are Non-Surjective
par: Mishra, Aayush, et autres
Publié: (2026)

LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search
par: Gao, Yang, et autres
Publié: (2025)

CoLLM-NAS: Collaborative Large Language Models for Efficient Knowledge-Guided Neural Architecture Search
par: Li, Zhe, et autres
Publié: (2025)

Auto-Prompt Ensemble for LLM Judge
par: Li, Jiajie, et autres
Publié: (2025)

NN-Former: Rethinking Graph Structure in Neural Architecture Representation
par: Xu, Ruihan, et autres
Publié: (2025)

Logical Structure as Knowledge: Enhancing LLM Reasoning via Structured Logical Knowledge Density Estimation
par: Bi, Zhen, et autres
Publié: (2025)

DNAD: Differentiable Neural Architecture Distillation
par: Rao, Xuan, et autres
Publié: (2025)

When LLM Reward Design Fails: Diagnostic-Driven Refinement for Sparse Structured RL
par: Wang, Youting, et autres
Publié: (2026)

Reinforced Compressive Neural Architecture Search for Versatile Adversarial Robustness
par: Wang, Dingrong, et autres
Publié: (2024)

Low-Rank Adapters Meet Neural Architecture Search for LLM Compression
par: Muñoz, J. Pablo, et autres
Publié: (2025)

Unsupervised Graph Neural Architecture Search with Disentangled Self-supervision
par: Zhang, Zeyang, et autres
Publié: (2024)

Data-Local Autonomous LLM-Guided Neural Architecture Search for Multiclass Multimodal Time-Series Classification
par: Hardarson, Emil, et autres
Publié: (2026)

Towards Mitigation of Hallucination for LLM-empowered Agents: Progressive Generalization Bound Exploration and Watchdog Monitor
par: Liu, Siyuan, et autres
Publié: (2025)

Position: Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems
par: Xia, Yifan, et autres
Publié: (2024)

NASH: Neural Architecture and Accelerator Search for Multiplication-Reduced Hybrid Models
par: Xu, Yang, et autres
Publié: (2024)

Causal-aware Graph Neural Architecture Search under Distribution Shifts
par: Li, Peiwen, et autres
Publié: (2024)

From Data-Centric to Sample-Centric: Enhancing LLM Reasoning via Progressive Optimization
par: Chen, Xinjie, et autres
Publié: (2025)

LLM Unlearning via Neural Activation Redirection
par: Shen, William F., et autres
Publié: (2025)

Transferrable Surrogates in Expressive Neural Architecture Search Spaces
par: Qin, Shiwen, et autres
Publié: (2025)

FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking
par: Rao, Xuan, et autres
Publié: (2025)

Meta-Learning and Knowledge Discovery based Physics-Informed Neural Network for Remaining Useful Life Prediction
par: Wang, Yu, et autres
Publié: (2025)

Global Convergence in Neural ODEs: Impact of Activation Functions
par: Gao, Tianxiang, et autres
Publié: (2025)

SeqNAS: Neural Architecture Search for Event Sequence Classification
par: Udovichenko, Igor, et autres
Publié: (2024)

MicroNAS: Zero-Shot Neural Architecture Search for MCUs
par: Qiao, Ye, et autres
Publié: (2024)

Weight-Entanglement Meets Gradient-Based Neural Architecture Search
par: Sukthanker, Rhea Sanjay, et autres
Publié: (2023)

Neural Architecture Search: Two Constant Shared Weights Initialisations
par: Gracheva, Ekaterina
Publié: (2023)

A Survey on Neural Architecture Search Based on Reinforcement Learning
par: Shao, Wenzhu
Publié: (2024)

Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution
par: Song, Wenhao, et autres
Publié: (2025)

A Continuous Encoding-Based Representation for Efficient Multi-Fidelity Multi-Objective Neural Architecture Search
par: Wei, Zhao, et autres
Publié: (2025)

Dense Optimizer : An Information Entropy-Guided Structural Search Method for Dense-like Neural Network Design
par: Tianyuan, Liu, et autres
Publié: (2024)

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search
par: Luo, Zeren, et autres
Publié: (2025)

MetaSymNet: A Tree-like Symbol Network with Adaptive Architecture and Activation Functions
par: Li, Yanjie, et autres
Publié: (2023)

Emergence of Frontier Superposition: Möbius attractor and Cascade Supervision
par: Gu, Hongyu, et autres
Publié: (2026)

PlatformX: An End-to-End Transferable Platform for Energy-Efficient Neural Architecture Search
par: Tu, Xiaolong, et autres
Publié: (2025)

Advancing Deep Learning through Probability Engineering: A Pragmatic Paradigm for Modern AI
par: Zhang, Jianyi
Publié: (2025)