Verified claim · AI-ML · 82% confidence
BigBird introduced in paper: Big Bird: Transformers for Longer Sequences (Zaheer et al., 2020).
Last verified 2026-06-19 · Methodology veritas-v0.1 · 1783cda1b5f622e7
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Structured fields
- Subject
- BigBird
- Predicate
introduced_in_paper- Object
- Big Bird: Transformers for Longer Sequences (Zaheer et al., 2020)
- Confidence
- 82%
- Tags
- bigbird · big-bird · sparse-attention · long-sequences · transformers · nlp · 2020
Sources (2)
[1] preprint · arXiv (Manzil Zaheer, Guru Guruganesh, Avinava Dubey, Joshua Ainslie, Chris Alberti, Santiago Ontanon, Philip Pham, Anirudh Ravula, Qifan Wang, Li Yang, Amr Ahmed) · 2020-07-28
Big Bird: Transformers for Longer Sequences“To remedy this, we propose, BigBird, a sparse attention mechanism that reduces this quadratic dependency to linear.”
[2] docs · Hugging Face
Big Bird: Transformers for Longer Sequences (Hugging Face Papers)Hugging Face is rated by SourceScore — see its reliability →
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BigBird introduced in paper: Big Bird: Transformers for Longer Sequences (Zaheer et al., 2020). — SourceScore Claim 1783cda1b5f622e7 (verified 2026-06-19). https://sourcescore.org/api/v1/claims/1783cda1b5f622e7.jsonEmbed this claim
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The record lists 2 cited source(s): arXiv (Manzil Zaheer, Guru Guruganesh, Avinava Dubey, Joshua Ainslie, Chris Alberti, Santiago Ontanon, Philip Pham, Anirudh Ravula, Qifan Wang, Li Yang, Amr Ahmed), Hugging Face. Each is shown below with a short excerpt and URL. The JSON record at https://sourcescore.org/api/v1/claims/1783cda1b5f622e7.json includes SourceScore-issued HMAC integrity metadata, not a public verification proof.
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cURL
curl https://sourcescore.org/api/v1/claims/1783cda1b5f622e7.jsonJavaScript / TypeScript
const r = await fetch("https://sourcescore.org/api/v1/claims/1783cda1b5f622e7.json");
const envelope = await r.json();
console.log(envelope.claim.statement);
// "BigBird introduced in paper: Big Bird: Transformers for Longer Sequences (Zaheer et al., 2020)."Python
import httpx
r = httpx.get("https://sourcescore.org/api/v1/claims/1783cda1b5f622e7.json")
envelope = r.json()
print(envelope["claim"]["statement"])
# "BigBird introduced in paper: Big Bird: Transformers for Longer Sequences (Zaheer et al., 2020)."LangChain (retrieve-then-cite)
from langchain_core.tools import tool
import httpx
@tool
def get_bigbird_fact() -> dict:
"""Fetch the verified SourceScore claim for BigBird."""
r = httpx.get("https://sourcescore.org/api/v1/claims/1783cda1b5f622e7.json")
return r.json()