Predicting Agent Coding Task Performance
Predict coding task failures for LLM agents without expensive evals
30-Second TL;DR
What Changed
Augments IRT with task features like issues, repos, solutions, tests.
Why It Matters
Reduces compute costs for agent evaluations by predicting hard tasks upfront. Enables better benchmark design and cross-evaluation comparisons. Advances understanding of agent weaknesses in coding.
What To Do Next
Implement IRT-based prediction using task features for your coding benchmarks.
Key Points
- •Augments IRT with task features like issues, repos, solutions, tests.
- •Decomposes agent ability into LLM and scaffold components.
- •Predicts performance on unseen benchmarks and agent combos.
- •Helps benchmark designers calibrate task difficulty without full evals.
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