LLM-NAS: LLM-driven Hardware-Aware Neural Architecture Search

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhu, Hengyi, Zhang, Grace Li, Huang, Shaoyi
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Different Prompts, Different Ranks: Prompt-aware Dynamic Rank Selection for SVD-based LLM Compression
by: Zhu, Hengyi, et al.
Published: (2026)

HW-NAS-Bench:Hardware-Aware Neural Architecture Search Benchmark
by: Li, Chaojian, et al.
Published: (2021)

MicroNAS: Memory and Latency Constrained Hardware-Aware Neural Architecture Search for Time Series Classification on Microcontrollers
by: King, Tobias, et al.
Published: (2023)

Layer-wise Weight Selection for Power-Efficient Neural Network Acceleration
by: Fang, Jiaxun, et al.
Published: (2025)

HGNAS: Hardware-Aware Graph Neural Architecture Search for Edge Devices
by: Zhou, Ao, et al.
Published: (2024)

NAS-Bench-Graph: Benchmarking Graph Neural Architecture Search
by: Qin, Yijian, et al.
Published: (2022)

Towards Fast LLM Fine-tuning through Zeroth-Order Optimization with Projected Gradient-Aligned Perturbations
by: Mi, Zhendong, et al.
Published: (2025)

Multi-Objective Hardware Aware Neural Architecture Search using Hardware Cost Diversity
by: Sinha, Nilotpal, et al.
Published: (2024)

EC-NAS: Energy Consumption Aware Tabular Benchmarks for Neural Architecture Search
by: Bakhtiarifard, Pedram, et al.
Published: (2022)

MicroNAS: Zero-Shot Neural Architecture Search for MCUs
by: Qiao, Ye, et al.
Published: (2024)

ESM: A Framework for Building Effective Surrogate Models for Hardware-Aware Neural Architecture Search
by: Nasir, Azaz-Ur-Rehman, et al.
Published: (2025)

CoLLM-NAS: Collaborative Large Language Models for Efficient Knowledge-Guided Neural Architecture Search
by: Li, Zhe, et al.
Published: (2025)

Late Breaking Results: Conversion of Neural Networks into Logic Flows for Edge Computing
by: Stein, Daniel, et al.
Published: (2026)

Efficient Context Propagating Perceiver Architectures for Auto-Regressive Language Modeling
by: Mahmood, Kaleel, et al.
Published: (2024)

Hardware-Aware Neural Architecture Search for Encrypted Traffic Classification on Resource-Constrained Devices
by: Chehade, Adel, et al.
Published: (2025)

Layer-wise dynamic rank for compressing large language models
by: Mi, Zhendong, et al.
Published: (2025)

FR-NAS: Forward-and-Reverse Graph Predictor for Efficient Neural Architecture Search
by: Zhang, Haoming, et al.
Published: (2024)

ShiftAddNAS: Hardware-Inspired Search for More Accurate and Efficient Neural Networks
by: You, Haoran, et al.
Published: (2022)

AEBNAS: Strengthening Exit Branches in Early-Exit Networks through Hardware-Aware Neural Architecture Search
by: Robben, Oscar, et al.
Published: (2025)

MARCO: Hardware-Aware Neural Architecture Search for Edge Devices with Multi-Agent Reinforcement Learning and Conformal Prediction Filtering
by: Fayyazi, Arya, et al.
Published: (2025)

Structured Progressive Knowledge Activation for LLM-Driven Neural Architecture Search
by: Liu, Zhen, et al.
Published: (2026)

NeuroNAS: Enhancing Efficiency of Neuromorphic In-Memory Computing for Intelligent Mobile Agents through Hardware-Aware Spiking Neural Architecture Search
by: Putra, Rachmad Vidya Wicaksana, et al.
Published: (2024)

LLM-Driven Composite Neural Architecture Search for Multi-Source RL State Encoding
by: Yu, Yu, et al.
Published: (2025)

Hardware-Aware Neural Dropout Search for Reliable Uncertainty Prediction on FPGA
by: Zhang, Zehuan, et al.
Published: (2024)

From Bits to Chips: An LLM-based Hardware-Aware Quantization Agent for Streamlined Deployment of LLMs
by: Deng, Kaiyuan, et al.
Published: (2026)

LLMForge: Multi-Backend Hardware-Aware Neural Architecture Search with Infinite-Head Attention for Edge Language Models
by: Jiang, Xinting, et al.
Published: (2026)

TinyTNAS: GPU-Free, Time-Bound, Hardware-Aware Neural Architecture Search for TinyML Time Series Classification
by: Saha, Bidyut, et al.
Published: (2024)

SeqNAS: Neural Architecture Search for Event Sequence Classification
by: Udovichenko, Igor, et al.
Published: (2024)

Low-Rank Adapters Meet Neural Architecture Search for LLM Compression
by: Muñoz, J. Pablo, et al.
Published: (2025)

Behavior Importance-Aware Graph Neural Architecture Search for Cross-Domain Recommendation
by: Ge, Chendi, et al.
Published: (2025)

NASH: Neural Architecture Search for Hardware-Optimized Machine Learning Models
by: Ji, Mengfei, et al.
Published: (2024)

SEval-NAS: A Search-Agnostic Evaluation for Neural Architecture Search
by: Mih, Atah Nuh, et al.
Published: (2026)

OptiProxy-NAS: Optimization Proxy based End-to-End Neural Architecture Search
by: Lyu, Bo, et al.
Published: (2025)

TG-NAS: Generalizable Zero-Cost Proxies with Operator Description Embedding and Graph Learning for Efficient Neural Architecture Search
by: Qiao, Ye, et al.
Published: (2024)

LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search
by: Gao, Yang, et al.
Published: (2025)

SONATA: Self-adaptive Evolutionary Framework for Hardware-aware Neural Architecture Search
by: Bouzidi, Halima, et al.
Published: (2024)

Hardware-Aware Parallel Prompt Decoding for Memory-Efficient Acceleration of LLM Inference
by: Chen, Hao Mark, et al.
Published: (2024)

EfficientLLM: Scalable Pruning-Aware Pretraining for Architecture-Agnostic Edge Language Models
by: Xing, Xingrun, et al.
Published: (2025)

MorphNAS: Differentiable Architecture Search for Morphologically-Aware Multilingual NER
by: Devadiga, Prathamesh, et al.
Published: (2025)

Quasar-ViT: Hardware-Oriented Quantization-Aware Architecture Search for Vision Transformers
by: Li, Zhengang, et al.
Published: (2024)