Verified claim · AI-ML · 82% confidence
XLNet introduced in paper: XLNet: Generalized Autoregressive Pretraining for Language Understanding (Yang et al., 2019).
Last verified 2026-06-19 · Methodology veritas-v0.1 · d8983079997f21c6
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Structured fields
- Subject
- XLNet
- Predicate
introduced_in_paper- Object
- XLNet: Generalized Autoregressive Pretraining for Language Understanding (Yang et al., 2019)
- Confidence
- 82%
- Tags
- xlnet · generalized-autoregressive-pretraining · permutation-language-modeling · bidirectional-context · nlp · pretraining · 2019
Sources (2)
[1] preprint · arXiv (Zhilin Yang, Zihang Dai, Yiming Yang, Jaime Carbonell, Ruslan Salakhutdinov, Quoc V. Le) · 2019-06-19
XLNet: Generalized Autoregressive Pretraining for Language Understanding“In light of these pros and cons, we propose XLNet, a generalized autoregressive pretraining method that (1) enables learning bidirectional contexts by maximizing the expected likelihood over all permutations of the factorization order and (2) overcomes the limitations of BERT thanks to its autoregressive formulation.”
[2] docs · Hugging Face
XLNet: Generalized Autoregressive Pretraining for Language Understanding (Hugging Face Papers)Hugging Face is rated by SourceScore — see its reliability →
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curl https://sourcescore.org/api/v1/claims/d8983079997f21c6.jsonJavaScript / TypeScript
const r = await fetch("https://sourcescore.org/api/v1/claims/d8983079997f21c6.json");
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// "XLNet introduced in paper: XLNet: Generalized Autoregressive Pretraining for Language Understanding (Yang et al., 2019)."Python
import httpx
r = httpx.get("https://sourcescore.org/api/v1/claims/d8983079997f21c6.json")
envelope = r.json()
print(envelope["claim"]["statement"])
# "XLNet introduced in paper: XLNet: Generalized Autoregressive Pretraining for Language Understanding (Yang et al., 2019)."LangChain (retrieve-then-cite)
from langchain_core.tools import tool
import httpx
@tool
def get_xlnet_fact() -> dict:
"""Fetch the verified SourceScore claim for XLNet."""
r = httpx.get("https://sourcescore.org/api/v1/claims/d8983079997f21c6.json")
return r.json()