Unverified50% confidenceFactExact time
Jev receives request content, candidate models, and their capability descriptions, and returns structured selection rationale via the TypeSafe Choice interface.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/12/2026
First Seen
Valid until: 1/10/2027
Sources
Related Entities
Related Claims
UnverifiedJev's core mechanism is to extract and number the currently interactive elements into a list, having the model only answer what to do and which number to select, rather than guessing coordinates or writing selectors.72% similarUnverifiedJev is a pure classifier that has not been trained to generate text; given a set of candidate options, it outputs a choice with a confidence score.69% similarUnverifiedIn a document value extraction test, Jev accurately selected the correct new address from a list of candidates, provided that the candidate list contains the correct answer.69% similarVerifiedJev offers three question types: Select, Score, and Null/Bool, with each response accompanied by a confidence value.67% similarUnverifiedSearch reranking is one application scenario for Jev: first use inexpensive algorithms such as BM25 to retrieve candidate results, then use Jev to score the candidates for relevance.67% similar
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