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Belebele

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전체 기법전체 데이터셋

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논문

이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.

Multi-lingual Functional Evaluation for Large Language Models

Elastic Weight Consolidation for Full-Parameter Continual Pre-Training of Gemma2

Can you map it to English? The Role of Cross-Lingual Alignment in Multilingual Performance of LLMs

DNA 1.0 Technical Report

2M-BELEBELE: Highly Multilingual Speech and American Sign Language Comprehension Dataset

Marco-LLM: Bridging Languages via Massive Multilingual Training for Cross-Lingual Enhancement

MEXA: Multilingual Evaluation of English-Centric LLMs via Cross-Lingual Alignment

From Multiple-Choice to Extractive QA: A Case Study for English and Arabic

OpenBA: An Open-sourced 15B Bilingual Asymmetric seq2seq Model Pre-trained from Scratch

The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants

NaijaRC: A Multi-choice Reading Comprehension Dataset for Nigerian Languages

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.