Bamboogle
Cohere Command A 76% Models answer 125 two-hop questions written so that a search engine cannot answer them directly. Models usually search and compose the facts.
The paper introduced it with self-ask prompting to measure the compositionality gap.
- Made by
- University of Washington and collaborators (Press et al.)
- Released
- October 2022
- Kind
- Questions that need search
- Level
- Everyday
- Scored
- Checked automatically
- Answers
- Short answer
- Tasks
- All public
- Last in a system card
- April 2025
- Last model added
- April 2025
Cohere Command A leads with 76%
Best score per model as labs report them in their own cards. Labs pick their own settings, so these compare less cleanly than independent runs.
Source: Labs’ model cards
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | Cohere Command A | 76% | Apr 2025 | Lab model card |
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Source: Labs’ model cards
Labs report it only in system cards
We read the headline results of 522 launch posts from 52 labs, and none of them list this benchmark. Some system cards do, below.
One system card reports it
Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.
| Date | Document | Score | As the document writes it | Section |
|---|---|---|---|---|
| Apr 1, 2025 | Cohere Command A technical report | 76 | Bamboogle with search tool, LLM-jury correctness (Table 4) | Capabilities |
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