Verified claim · AI-ML · 82% confidence
DeBERTa introduced in paper: DeBERTa: Decoding-enhanced BERT with Disentangled Attention (He et al., 2020).
Last verified 2026-06-19 · Methodology veritas-v0.1 · 7cbe7b535b211862
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Structured fields
- Subject
- DeBERTa
- Predicate
introduced_in_paper- Object
- DeBERTa: Decoding-enhanced BERT with Disentangled Attention (He et al., 2020)
- Confidence
- 82%
- Tags
- deberta · disentangled-attention · enhanced-mask-decoder · bert · roberta · nlp · 2020
Sources (2)
[1] preprint · arXiv (Pengcheng He, Xiaodong Liu, Jianfeng Gao, Weizhu Chen) · 2020-06-05
DeBERTa: Decoding-enhanced BERT with Disentangled Attention“In this paper we propose a new model architecture DeBERTa (Decoding-enhanced BERT with disentangled attention) that improves the BERT and RoBERTa models using two novel techniques.”
[2] docs · Hugging Face
DeBERTa: Decoding-enhanced BERT with Disentangled Attention (Hugging Face Papers)Hugging Face is rated by SourceScore — see its reliability →
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DeBERTa introduced in paper: DeBERTa: Decoding-enhanced BERT with Disentangled Attention (He et al., 2020). — SourceScore Claim 7cbe7b535b211862 (verified 2026-06-19). https://sourcescore.org/api/v1/claims/7cbe7b535b211862.jsonEmbed this claim
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Frequently asked questions
Is the claim "DeBERTa introduced in paper: DeBERTa: Decoding-enhanced BERT with Disentangled Attention (He et al., 2020)." verified?
Yes — SourceScore verified this claim with 82% confidence as of 2026-06-19. The verification uses 2 primary sources cross-referenced against the SourceScore methodology (version veritas-v0.1). Full source list + signed JSON envelope linked below.
What is the evidence for "DeBERTa introduced in paper: DeBERTa: Decoding-enhanced BERT with Disentangled Attention (He et al., 2020)."?
Evidence comes from 2 primary sources: arXiv (Pengcheng He, Xiaodong Liu, Jianfeng Gao, Weizhu Chen), Hugging Face. Each source is listed below with verbatim excerpts and URLs. The signed JSON envelope at https://sourcescore.org/api/v1/claims/7cbe7b535b211862.json includes an HMAC-SHA256 signature for audit verification.
When was this claim last verified by SourceScore?
Last verified 2026-06-19 under methodology version veritas-v0.1. The signed JSON envelope is dated and cryptographically signed for audit trail. Re-verification cadence depends on the claim type and source freshness.
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// "DeBERTa introduced in paper: DeBERTa: Decoding-enhanced BERT with Disentangled Attention (He et al., 2020)."Python
import httpx
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# "DeBERTa introduced in paper: DeBERTa: Decoding-enhanced BERT with Disentangled Attention (He et al., 2020)."LangChain (retrieve-then-cite)
from langchain_core.tools import tool
import httpx
@tool
def get_deberta_fact() -> dict:
"""Fetch the verified SourceScore claim for DeBERTa."""
r = httpx.get("https://sourcescore.org/api/v1/claims/7cbe7b535b211862.json")
return r.json()