EXAONE Tabular
valid: Two independent sources agree, or a primary source states it: the record asserts this claim.asserted
- Valid from
- 2026-09-09
- Valid until
- still holds
- Published
- 2026-09-09
- Recorded by AsOf
- 2026-11-10
- Checked
- 2026-11-10 · its source page states the value and the date
- Confidence
- 0.70
Sources
“LG AI연구원은 정형(표 형식) 데이터의 분류·회귀 예측을 위한 파운데이션 모델 'EXAONE Tabular'를 공개하며 이러한 재학습 부담 자체를 근본적으로 없애는 방향을 제시했습니다.”— what the page says, read 2026-11-10
Cite this claim
Plain text
AsOf. "LG AI Research released: EXAONE Tabular", as of 2026-09-09. Claim clm_AC2D5956A551, https://asof.is/claim/clm_AC2D5956A551, accessed 2026-11-10. Source: https://www.lgresearch.ai/blog/view?seq=696.
APA
AsOf. (2026). LG AI Research released: EXAONE Tabular (as of 2026-09-09) [Record clm_AC2D5956A551]. Retrieved November 10, 2026, from https://asof.is/claim/clm_AC2D5956A551 (source: https://www.lgresearch.ai/blog/view?seq=696)
BibTeX
@misc{asof_clm_AC2D5956A551,
author = {AsOf},
title = {LG AI Research released: EXAONE Tabular},
year = {2026},
howpublished = {\url{https://asof.is/claim/clm_AC2D5956A551}},
note = {Claim clm\_AC2D5956A551, as of 2026-09-09; source: https://www.lgresearch.ai/blog/view?seq=696},
urldate = {2026-11-10}
}On the record
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