Verified claim · AI-ML · 100% confidence
ELECTRA introduced in paper: ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators (Clark et al., 2020).
Last verified 2026-05-16 · Methodology veritas-v0.1 · 2f9c79357e9d4da9
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Structured fields
- Subject
- ELECTRA
- Predicate
introduced_in_paper- Object
- ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators (Clark et al., 2020)
- Confidence
- 100%
- Tags
- electra · pretraining · discriminator · foundational · 2020 · google
Sources (2)
[1] preprint · arXiv (Clark, Luong, Le, Manning) · 2020-03-23
ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators“We propose a more sample-efficient pre-training task called replaced token detection. Instead of masking the input, our approach corrupts it by replacing some tokens with plausible alternatives sampled from a small generator network.”
[2] github release · Google Research · 2020-03-23
google-research/electra — official implementation
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Yes — SourceScore verified this claim with 100% confidence as of 2026-05-16. The verification uses 2 primary sources cross-referenced against the SourceScore methodology (version veritas-v0.1). Full source list + signed JSON envelope linked below.
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Evidence comes from 2 primary sources: arXiv (Clark, Luong, Le, Manning), Google Research. Each source is listed below with verbatim excerpts and URLs. The signed JSON envelope at https://sourcescore.org/api/v1/claims/2f9c79357e9d4da9.json includes an HMAC-SHA256 signature for audit verification.
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// "ELECTRA introduced in paper: ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators (Clark et al., 2020)."Python
import httpx
r = httpx.get("https://sourcescore.org/api/v1/claims/2f9c79357e9d4da9.json")
envelope = r.json()
print(envelope["claim"]["statement"])
# "ELECTRA introduced in paper: ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators (Clark et al., 2020)."LangChain (retrieve-then-cite)
from langchain_core.tools import tool
import httpx
@tool
def get_electra_fact() -> dict:
"""Fetch the verified SourceScore claim for ELECTRA."""
r = httpx.get("https://sourcescore.org/api/v1/claims/2f9c79357e9d4da9.json")
return r.json()