PostTrainBench: Can LLM Agents Automate LLM Post-Training?
- Type
- paper
- Venue
- arXiv (cs.SE)
- Year
- 2026
- Source
- huggingface
- Access
- public
- Language
- en
- Added
- 2026-09-29
- Verified
- 2026-09-29
Summary
Introduces PostTrainBench, a benchmark where CLI agents receive a base LLM, an evaluation script, and 10 H100-hours to autonomously improve the model via any post-training strategy, testing whether LLM agents can automate LLM post-training.
Research notes
- Key findings: Proposes the 'agent post-trains the model' evaluation setup: base LLM + eval script + 10 H100-hours, any strategy allowed
- Paper record for the research behind the PostTrainBench-Trajectories dataset.