Development and testing
Checking multi-part tasks
A change helped the model interpret some requests better under comparable conditions. More complex tasks with dependencies remained unresolved.
- Status
- Completed
- Outcome
- Mixed
- Bears on
- a diagnostic observation
- Period
- 2 — 4 October 2026
- Published
- Updated
What we set out to test
Can the model’s understanding of a multi-part request be improved, so that it identifies more precisely which parts are needed and in what order?
Earlier checks
- No. 12Preparing the current trialsNot enough evidence yet
How the study progressed
A comparable test
Some requests are interpreted better, while complex tasks with dependencies remain unresolved.
Mixed— bears on: a diagnostic observation
Setting the next priority
A partial improvement does not replace assessment of complete solutions. The next series checks reliability on new examples.
Not assessed— bears on: a diagnostic observation
What we found
In a comparable test, the model more often interpreted requests whose requirements were implicit. However, a separate check involving dependencies between parts produced no fully correct solutions.
What the problem turned out to be
Improving one component does not ensure a correct solution to the whole task. Some results were obtained under different conditions and cannot be combined into a single progress curve.
What we changed
We checked the change under comparable conditions. Following the review, further work on this part was limited so we could focus on the main research question.
What the recheck showed
The comparable check confirmed a partial improvement. Transfer to complex tasks with dependencies has not been established.
Limits of the conclusions
A limited sample and one training run per condition. This is a development result for one component of the system.
What is still unknown
- What prevents solving new tasks with dependencies between their parts?
Next step
Check the current approach on new tasks and assess complete answers.
Continued in
- No. 14Checking reliability on new tasksMixed