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arXiv ยท 2026-06-30
QVal: Cheaply Evaluating Dense Supervision Signals for Long-Horizon LLM AgentsLong-horizon LLM agents require guidance on the goodness of intermediate actions, which is not provided by outcome-only rewards. QVal is a new evaluation method that aims to solve this problem by assessing the quality of dense supervision signals. This approach can improve the performance of LLM agents.
- QVal evaluates the quality of dense supervision signals
- It can improve the performance of LLM agents
- QVal is more efficient than traditional methods
