Cover Image

Large Language Model-Enhanced Algorithm Selection: Towards Comprehensive Algorithm Representation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wu, Xingyu, Zhong, Yan, Wu, Jibin, Jiang, Bingbing, Tan, Kay Chen
Format:	Preprint
Published:	2023
Subjects:	Machine Learning Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Unlock the Power of Algorithm Features: A Generalization Analysis for Algorithm Selection
by: Wu, Xingyu, et al.
Published: (2024)

Design Principle Transfer in Neural Architecture Search via Large Language Models
by: Zhou, Xun, et al.
Published: (2024)

Diversity-Aware Policy Optimization for Large Language Model Reasoning
by: Yao, Jian, et al.
Published: (2025)

Evolutionary Computation in the Era of Large Language Model: Survey and Roadmap
by: Wu, Xingyu, et al.
Published: (2024)

Clustering Algorithms and RAG Enhancing Semi-Supervised Text Classification with Large LLMs
by: Zhong, Shan, et al.
Published: (2024)

A Survey of Low-bit Large Language Models: Basics, Systems, and Algorithms
by: Gong, Ruihao, et al.
Published: (2024)

Optimizing Large Language Models with an Enhanced LoRA Fine-Tuning Algorithm for Efficiency and Robustness in NLP Tasks
by: Hu, Jiacheng, et al.
Published: (2024)

On the Origins of Linear Representations in Large Language Models
by: Jiang, Yibo, et al.
Published: (2024)

Large Language Models on Graphs: A Comprehensive Survey
by: Jin, Bowen, et al.
Published: (2023)

GLBench: A Comprehensive Benchmark for Graph with Large Language Models
by: Li, Yuhan, et al.
Published: (2024)

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery
by: Wu, Xingyu, et al.
Published: (2025)

Taxonomy, Opportunities, and Challenges of Representation Engineering for Large Language Models
by: Wehner, Jan, et al.
Published: (2025)

CausalBench: A Comprehensive Benchmark for Causal Learning Capability of LLMs
by: Zhou, Yu, et al.
Published: (2024)

From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Models
by: Welleck, Sean, et al.
Published: (2024)

HM3: Hierarchical Multi-Objective Model Merging for Pretrained Models
by: Zhou, Yu, et al.
Published: (2024)

MiniGPT: Rebuilding GPT from First Principles
by: Joseph, Jibin
Published: (2026)

Towards Bridging the Reward-Generation Gap in Direct Alignment Algorithms
by: Xiao, Zeguan, et al.
Published: (2025)

A Systematic Survey on Large Language Models for Algorithm Design
by: Liu, Fei, et al.
Published: (2024)

NeuroPrune: A Neuro-inspired Topological Sparse Training Algorithm for Large Language Models
by: Dhurandhar, Amit, et al.
Published: (2024)

Less is KEN: a Universal and Simple Non-Parametric Pruning Algorithm for Large Language Models
by: Mastromattei, Michele, et al.
Published: (2024)

Enhancing Large Language Models with Domain-Specific Knowledge: The Case in Topological Materials
by: Xu, HuangChao, et al.
Published: (2024)

Holistic Capability Preservation: Towards Compact Yet Comprehensive Reasoning Models
by: Ling Team, et al.
Published: (2025)

Performance Law of Large Language Models
by: Wu, Chuhan, et al.
Published: (2024)

Active Model Selection for Large Language Models
by: Durmazkeser, Yavuz, et al.
Published: (2025)

Cross-Tokenizer Likelihood Scoring Algorithms for Language Model Distillation
by: Phan, Buu, et al.
Published: (2025)

EmbedLLM: Learning Compact Representations of Large Language Models
by: Zhuang, Richard, et al.
Published: (2024)

Estimating Item Difficulty Using Large Language Models and Tree-Based Machine Learning Algorithms
by: Razavi, Pooya, et al.
Published: (2025)

Exploring Context Window of Large Language Models via Decomposed Positional Vectors
by: Dong, Zican, et al.
Published: (2024)

FRED: Financial Retrieval-Enhanced Detection and Editing of Hallucinations in Language Models
by: Tan, Likun, et al.
Published: (2025)

tnGPS: Discovering Unknown Tensor Network Structure Search Algorithms via Large Language Models (LLMs)
by: Zeng, Junhua, et al.
Published: (2024)

Advancing Graph Representation Learning with Large Language Models: A Comprehensive Survey of Techniques
by: Mao, Qiheng, et al.
Published: (2024)

Textual Aesthetics in Large Language Models
by: Jiang, Lingjie, et al.
Published: (2024)

In-Context Language Learning: Architectures and Algorithms
by: Akyürek, Ekin, et al.
Published: (2024)

Large Language Model Selection with Limited Annotations
by: Durmazkeser, Yavuz, et al.
Published: (2026)

Automatic Prompt Selection for Large Language Models
by: Do, Viet-Tung, et al.
Published: (2024)

Unraveling Arithmetic in Large Language Models: The Role of Algebraic Structures
by: Chang, Fu-Chieh, et al.
Published: (2024)

Algorithmic Capabilities of Random Transformers
by: Zhong, Ziqian, et al.
Published: (2024)

Fortify the Shortest Stave in Attention: Enhancing Context Awareness of Large Language Models for Effective Tool Use
by: Chen, Yuhan, et al.
Published: (2023)

Recall-Extend Dynamics: Enhancing Small Language Models through Controlled Exploration and Refined Offline Integration
by: Guan, Zhong, et al.
Published: (2025)

The Geometry of Tokens in Internal Representations of Large Language Models
by: Viswanathan, Karthik, et al.
Published: (2025)