Unverified50% confidenceFactExact time
Mainstream OVOD methods adopt a phrase grounding framework: the text description is broken into tokens, object queries are aligned with the tokens, and category scores are then recovered through token-to-category aggregation.
1
Sources
50%
Confidence
Long-term
Relevance
10/20/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedFor filler words and non-lexical content, two processing strategies can be adopted: supplementing the pronunciation dictionary or marking them as OOV (out-of-vocabulary).73% similarUnverifiedStructure-aware chunking uses headings and sections to preserve context; writing the heading path into the text that is embedded helps retrieval matching, and putting it into the context sent to the answer model helps the model understand semantics—these are different stages and cannot substitute for each other.72% similarUnverifiedSemantic formatting refers to a model's ability to recognize and restore the implicit logical structure in a document, such as distinguishing heading hierarchies, list levels, and emphasized text.71% similarUnverifiedA common approach to mapping OCR text into structured data is to use text coordinates for row-column clustering: group by vertical position into rows, align by horizontal position into columns, and infer the table's row-column skeleton.70% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1074591API
curl https://kongchang.com/api/v1/knowledge/claims/1074591MCP
get_claim(id=1074591)