A Closer Look at Agentic BBO: Benchmarking LLM Agents for Black-Box Optimization
cs.LG, cs.AI, cs.NE
Submitted: 2026-10-08
Updated: 2026-10-08
Code: https://github.com/lamda-bbo/agentic-bbo
Terminology
Sources
- Agentic Bayesian Optimization through Surrogate-Augmented Autoresearch
- LLINBO: Trustworthy LLM-in-the-Loop Bayesian Optimization
- Co-Harness: Co-Evolving Harnesses and Model Weights for LLM Agents
- DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence
- DeepSeek-V4.1-Flash: Pushing the Limits of KV Cache Compression
- A Tutorial on Bayesian Optimization
- GLM-5: from Vibe Coding to Agentic Engineering
- The CMA Evolution Strategy: A Tutorial
- AgentHPOBench: A Benchmark For Evaluating LLM Agents as Sequential Hyperparameter Optimizers
- Kimi K3: Open Frontier Intelligence
- EvoX: Meta-Evolution for Automated Discovery
- Purely Agent-Driven Black-Box Optimization for Biological Design
- SemanticOpt: Towards LLM-Based Semantic Black-Box Optimization
- ExLLM: Experience-Enhanced LLM Optimization for Molecular Design and Beyond
- Evo-Harness: Context-to-Harness Skill Compilation for Self-Evolving Agents
- Harness-Bench: Evaluating Agent Harnesses across Models and Realistic Workflows
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