DeepSearcher stopping-policy experiment
Agentic search: a standalone evaluation uses Jev Noul judgments on accumulated evidence to decide whether to stop or continue within a search-round budget, comparing stopping behavior, evidence recall, and decision cost.

- GitHub stars
- 8,278 as of 2026-09-22
- Forks
- 803
- Language
- Python
- License
- Apache-2.0
- Created
- 2025-02-08
- Last updated on GitHub
- 2026-09-22

What Jev does in DeepSearcher stopping-policy experiment
The project describes itself this way: Agentic search: a standalone evaluation uses Jev Noul judgments on accumulated evidence to decide whether to stop or continue within a search-round budget, comparing stopping behavior, evidence recall, and decision cost. In the Community additions category, Jev typically decides a single well-defined judgment, such as a label, a score or a yes/no check.
Verification
Verified. We confirmed this repository and its Jev relevance through the GitHub API and the source lists below. A specific file link has not been recorded yet.
Topics
- agent
- agentic-rag
- claude
- deep-research
- deepseek
- deepseek-r1
- grok
- grok3
- llama4
- llm
- milvus
- openai
- qwen3
- rag
How Community additions projects use Jev
Projects added from community lists and direct submissions. Many are small, single-purpose experiments, which makes them some of the easiest places to see how a Jev question is framed in real code.
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