Unverified50% confidenceFactExact time
The second stage of the two-stage architecture uses a language model to perform query-specific evidence filtering on each candidate item, retaining only those that truly satisfy the current query's needs.
1
Sources
50%
Confidence
Long-term
Relevance
10/28/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThe project offers two retrieval modes: local mode for precise fact-level question answering, and global mode for cross-document synthesis and summarization.73% similarUnverifiedIn the testing phase, the team chose the second route: humans first determine test scope and risk level, then the model scans the code to supplement steps; the process includes collecting affected interfaces from traffic monitoring and code changes, having the model read the code to answer the scale of changes and branches, and using decision tables to split first and then combine to generate streamlined test case combinations.69% similarUnverifiedThe two-phase dry-run validation borrows the idea of two-phase commit (2PC) from the database field; the first phase is the simulation phase that validates permissions and dependencies, and the second phase is the commit phase that performs the actual state changes67% similarUnverifiedThe two-stage review model splits review into two phases: an editorial filter (deciding whether a change should be made) and a governance filter (deciding whether the rewrite is permitted).67% similarUnverifiedThe reranking module typically uses a cross-encoder model to compute relevance scores between queries and documents, performing a secondary ranking of the candidate documents from the initial retrieval.67% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1106131API
curl https://kongchang.com/api/v1/knowledge/claims/1106131MCP
get_claim(id=1106131)