Run benchmark review for post-fit and downstream-task behavior
- Dominant language
- Jupyter Notebook
- Stars
- 10
- Forks
- 1
- Avg merge
- 1m
- Merged PRs (30d)
- 34
Description
Run a second focused manual review against the benchmark suite to validate
post-fit usage, posterior reweighting, and downstream-task execution behavior.
This issue is also review-oriented and should stay narrow.
Scope:
- run benchmark prompts through the current skill set
- focus only on post-fit usage and downstream-task behavior
- collect and categorize failures
Acceptance criteria:
- a review artifact exists
- post-fit and downstream-task failures are categorized clearly
- follow-up fixes can be opened as separate small issues if needed
Contributor guide
Research direction
Start by running the benchmark prompts through the current skill set, focusing only on post-fit usage and downstream-task execution. Record and categorize failures, then produce a review artifact showing the categorized results and any follow-up fixes that should become separate issues.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook, python
- Domain
- machine-learning, testing-qa
- Issue type
- Documentation
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Quiet
- Clarity
- Mostly clear
- Newbie friendliness
- 65/100