Design Principle Transfer in Neural Architecture Search via Large Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Zhou, Xun, Wu, Xingyu, Feng, Liang, Lu, Zhichao, Tan, Kay Chen |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Large Language Model-Enhanced Algorithm Selection: Towards Comprehensive Algorithm Representation
by: Wu, Xingyu, et al.
Published: (2023)
by: Wu, Xingyu, et al.
Published: (2023)
Structural Pruning of Pre-trained Language Models via Neural Architecture Search
by: Klein, Aaron, et al.
Published: (2024)
by: Klein, Aaron, et al.
Published: (2024)
Towards Intrinsic Interpretability of Large Language Models:A Survey of Design Principles and Architectures
by: Gao, Yutong, et al.
Published: (2026)
by: Gao, Yutong, et al.
Published: (2026)
Jet-Nemotron: Efficient Language Model with Post Neural Architecture Search
by: Gu, Yuxian, et al.
Published: (2025)
by: Gu, Yuxian, et al.
Published: (2025)
How Multimodal Integration Boost the Performance of LLM for Optimization: Case Study on Capacitated Vehicle Routing Problems
by: Huang, Yuxiao, et al.
Published: (2024)
by: Huang, Yuxiao, et al.
Published: (2024)
Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Models
by: Zhou, Zhanhui, et al.
Published: (2024)
by: Zhou, Zhanhui, et al.
Published: (2024)
Textual Aesthetics in Large Language Models
by: Jiang, Lingjie, et al.
Published: (2024)
by: Jiang, Lingjie, et al.
Published: (2024)
Deconstructing Attention: Investigating Design Principles for Effective Language Modeling
by: Xue, Huiyin, et al.
Published: (2025)
by: Xue, Huiyin, et al.
Published: (2025)
Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models
by: Yang, Junjie, et al.
Published: (2025)
by: Yang, Junjie, et al.
Published: (2025)
A Systematic Survey on Large Language Models for Algorithm Design
by: Liu, Fei, et al.
Published: (2024)
by: Liu, Fei, et al.
Published: (2024)
Massive Editing for Large Language Models via Meta Learning
by: Tan, Chenmien, et al.
Published: (2023)
by: Tan, Chenmien, et al.
Published: (2023)
Large Language Models are Superpositions of All Characters: Attaining Arbitrary Role-play via Self-Alignment
by: Lu, Keming, et al.
Published: (2024)
by: Lu, Keming, et al.
Published: (2024)
tnGPS: Discovering Unknown Tensor Network Structure Search Algorithms via Large Language Models (LLMs)
by: Zeng, Junhua, et al.
Published: (2024)
by: Zeng, Junhua, et al.
Published: (2024)
Transfer Learning for Finetuning Large Language Models
by: Strangmann, Tobias, et al.
Published: (2024)
by: Strangmann, Tobias, et al.
Published: (2024)
Model Merging in Pre-training of Large Language Models
by: Li, Yunshui, et al.
Published: (2025)
by: Li, Yunshui, et al.
Published: (2025)
Principled Detection of Hallucinations in Large Language Models via Multiple Testing
by: Li, Jiawei, et al.
Published: (2025)
by: Li, Jiawei, et al.
Published: (2025)
Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective
by: Zhong, Ming, et al.
Published: (2023)
by: Zhong, Ming, et al.
Published: (2023)
Neural Parameter Search for Slimmer Fine-Tuned Models and Better Transfer
by: Du, Guodong, et al.
Published: (2025)
by: Du, Guodong, et al.
Published: (2025)
InfiFPO: Implicit Model Fusion via Preference Optimization in Large Language Models
by: Gu, Yanggan, et al.
Published: (2025)
by: Gu, Yanggan, et al.
Published: (2025)
Towards Principled Design of Mixture-of-Experts Language Models under Memory and Inference Constraints
by: Liew, Seng Pei, et al.
Published: (2026)
by: Liew, Seng Pei, et al.
Published: (2026)
Evolutionary Computation in the Era of Large Language Model: Survey and Roadmap
by: Wu, Xingyu, et al.
Published: (2024)
by: Wu, Xingyu, et al.
Published: (2024)
JoPA:Explaining Large Language Model's Generation via Joint Prompt Attribution
by: Chang, Yurui, et al.
Published: (2024)
by: Chang, Yurui, et al.
Published: (2024)
ROPO: Robust Preference Optimization for Large Language Models
by: Liang, Xize, et al.
Published: (2024)
by: Liang, Xize, et al.
Published: (2024)
CEB: Compositional Evaluation Benchmark for Fairness in Large Language Models
by: Wang, Song, et al.
Published: (2024)
by: Wang, Song, et al.
Published: (2024)
Efficient Reasoning for Large Reasoning Language Models via Certainty-Guided Reflection Suppression
by: Huang, Jiameng, et al.
Published: (2025)
by: Huang, Jiameng, et al.
Published: (2025)
Beyond Neural Incompatibility: Cross-Scale Knowledge Transfer in Language Models through Latent Semantic Alignment
by: Gu, Jian, et al.
Published: (2025)
by: Gu, Jian, et al.
Published: (2025)
Elastic Architecture Search for Efficient Language Models
by: Wang, Shang
Published: (2025)
by: Wang, Shang
Published: (2025)
Large Scale Transfer Learning for Tabular Data via Language Modeling
by: Gardner, Josh, et al.
Published: (2024)
by: Gardner, Josh, et al.
Published: (2024)
Polynomial Composition Activations: Unleashing the Dynamics of Large Language Models
by: Zhuo, Zhijian, et al.
Published: (2024)
by: Zhuo, Zhijian, et al.
Published: (2024)
UniDetox: Universal Detoxification of Large Language Models via Dataset Distillation
by: Lu, Huimin, et al.
Published: (2025)
by: Lu, Huimin, et al.
Published: (2025)
An Evaluation on Large Language Model Outputs: Discourse and Memorization
by: de Wynter, Adrian, et al.
Published: (2023)
by: de Wynter, Adrian, et al.
Published: (2023)
Fine-Grained Model Merging via Modular Expert Recombination
by: Qiu, Haiyun, et al.
Published: (2026)
by: Qiu, Haiyun, et al.
Published: (2026)
Instruction Following by Principled Boosting Attention of Large Language Models
by: Guardieiro, Vitoria, et al.
Published: (2025)
by: Guardieiro, Vitoria, et al.
Published: (2025)
The Compositional Architecture of Regret in Large Language Models
by: Cui, Xiangxiang, et al.
Published: (2025)
by: Cui, Xiangxiang, et al.
Published: (2025)
PanGu-$π$: Enhancing Language Model Architectures via Nonlinearity Compensation
by: Wang, Yunhe, et al.
Published: (2023)
by: Wang, Yunhe, et al.
Published: (2023)
CataLM: Empowering Catalyst Design Through Large Language Models
by: Wang, Ludi, et al.
Published: (2024)
by: Wang, Ludi, et al.
Published: (2024)
Large Language Models as Optimizers
by: Yang, Chengrun, et al.
Published: (2023)
by: Yang, Chengrun, et al.
Published: (2023)
Sample-Efficient Human Evaluation of Large Language Models via Maximum Discrepancy Competition
by: Feng, Kehua, et al.
Published: (2024)
by: Feng, Kehua, et al.
Published: (2024)
Transferring Linear Features Across Language Models With Model Stitching
by: Chen, Alan, et al.
Published: (2025)
by: Chen, Alan, et al.
Published: (2025)
Transfer Q Star: Principled Decoding for LLM Alignment
by: Chakraborty, Souradip, et al.
Published: (2024)
by: Chakraborty, Souradip, et al.
Published: (2024)
Similar Items
-
Large Language Model-Enhanced Algorithm Selection: Towards Comprehensive Algorithm Representation
by: Wu, Xingyu, et al.
Published: (2023) -
Structural Pruning of Pre-trained Language Models via Neural Architecture Search
by: Klein, Aaron, et al.
Published: (2024) -
Towards Intrinsic Interpretability of Large Language Models:A Survey of Design Principles and Architectures
by: Gao, Yutong, et al.
Published: (2026) -
Jet-Nemotron: Efficient Language Model with Post Neural Architecture Search
by: Gu, Yuxian, et al.
Published: (2025) -
How Multimodal Integration Boost the Performance of LLM for Optimization: Case Study on Capacitated Vehicle Routing Problems
by: Huang, Yuxiao, et al.
Published: (2024)