roberta-large
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-11.)
roberta-large has 6 facts recorded in Dontopedia across 1 reference, with 1 live disagreement.
Mostly:rdf:type(2), suggested by(1), is suggested as(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (2)
Other subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. "X motherOf this subject" — and answer questions the forward facts can't. Grouped by predicate.
includesIncludes(2)
- Model Alternatives
ex:model-alternatives - Recommended Models
ex:recommended-models
Other facts (5)
The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.
| Predicate | Value | Ref |
|---|---|---|
| Rdf:type | Pre Trained Model | [1] |
| Rdf:type | Larger Model | [1] |
| Suggested by | Assistant | [1] |
| Is Suggested As | Suitable Alternative | [1] |
| Is Type of | Larger Model | [1] |
Timeline
Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.
References (1)
ctx:claims/beam/63f3f6ff-b059-492e-954d-ccca67c2349d- full textbeam-chunktext/plain1020 B
doc:beam/63f3f6ff-b059-492e-954d-ccca67c2349dShow excerpt
However, I'm only achieving about 80% accuracy with this approach. I've studied LLM-based reformulation and noted a 25% intent accuracy boost for 6,000 complex queries. Can you help me improve my implementation to reach at least 92% detecti…
See also
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