Language-Guided Tuning: Configuration Optimization for Automated ML Research
cs.AI, cs.CL, cs.LG, cs.MA
Submitted: 2025-08-21
Updated: 2026-08-30
Comments: 18 pages, 4 figures, 10 tables
Code: https://github.com/YuxingLu613/LanguageGuided-Tuning
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- A Tutorial on Bayesian Optimization
- CALM: Co-evolution of Algorithms and Language Model for Automatic Heuristic Design
- Grid Search, Random Search, Genetic Algorithm: A Big Comparison for NAS
- DeepSeek-V3 Technical Report
- DARTS: Differentiable Architecture Search
- DoctorRAG: Medical RAG Fusing Knowledge with Patient Analogy through Textual Gradients
- KARMA: Leveraging Multi-Agent LLMs for Automated Knowledge Graph Enrichment
- LLaMoCo: Instruction Tuning of Large Language Models for Optimization Code Generation
- The Importance of Directional Feedback for LLM-based Optimizers
- Deep Insights into Automated Optimization with Large Language Models and Evolutionary Algorithms
- Hyper-Parameter Optimization: A Review of Algorithms and Applications
- TextGrad: Automatic "Differentiation" via Text
- Using Large Language Models for Hyperparameter Optimization
- A Survey of Large Language Models
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