Unverified50% confidenceFactExact time
Appendix F of the paper provides a pseudo-text window: each latent-space step can be mapped to the nearest token embedding, and the readability score is taken as the mean of the best cosine match over the vocabulary.
1
Sources
50%
Confidence
Long-term
Relevance
10/19/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThe recursive character text splitter balances the contradiction between document chunks being too long to exceed the context window and too short to lose semantics by attempting to split at natural boundaries (paragraphs, sentences).67% similarUnverifiedAll PDF text extraction tools essentially perform reverse inference by reconstructing reading order through coordinate clustering, judging line breaks and columns with spacing thresholds, and guessing heading levels from differences in font and size.66% similarUnverified将文本块存储在知识图谱中后,可先检索相关文本块再沿图的关系遍历找到其他相关文本块,为大模型提供更完整上下文66% similarUnverifiedFSBoard primarily covers fingerspelling rather than complete sign language vocabulary and grammatical expressions, leaving room for improvement in models trained on this dataset for understanding coherent sign language sentences.66% similarUnverifiedOpen-vocabulary detection extends the category space from discrete labels to a continuous semantic space by introducing a vision-language alignment mechanism, with its key technical foundation being the joint vision-text embedding space established by the CLIP model.66% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1069598API
curl https://kongchang.com/api/v1/knowledge/claims/1069598MCP
get_claim(id=1069598)