Harnessing Large Language Models to Compile Task-Relevant Context into Bayesian Optimisation
cs.LG
Submitted: 2026-09-29
Updated: 2026-09-29
Code: https://github.com/anomalyco/opencode
Project page: https://www.rdkit.org
Sources
- LLM-Enhanced Bayesian Optimization for Efficient Analog Layout Constraint Generation
- HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPO
- LLMs for Bayesian Optimization in Scientific Domains: Are We There Yet?
- Olympus: a benchmarking framework for noisy optimization and experiment planning
- Exploring the True Potential: Evaluating the Black-box Optimization Capability of Large Language Models
- A General Framework for User-Guided Bayesian Optimization
- A Sober Look at LLMs for Material Discovery: Are They Actually Good for Bayesian Optimization Over Molecules?
- Large Language Models to Enhance Bayesian Optimization
- Adaptive Kernel Design for Bayesian Optimization Is a Piece of CAKE with LLMs
- Domain Knowledge Injection in Bayesian Search for New Materials
- Large Language Models as Optimizers
- SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering
- Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial
- Unleashing LLMs in Bayesian Optimization: Preference-Guided Framework for Scientific Discovery
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