Papers with Code 아카이브
Cross-Lingual Question Answering
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/deepmind/xquad
공식 코드On the Cross-lingual Transferability of Monolingual Representations
https://github.com/fantabulous-j/class
공식 코드Pre-training Cross-lingual Open Domain Question Answering with Large-scale Synthetic Supervision
https://github.com/google-research-datasets/indic-gen-bench
공식 코드https://github.com/google-research/byt5
공식 코드ByT5: Towards a token-free future with pre-trained byte-to-byte models
https://github.com/luciusssss/xkbqa-as-mrc
공식 코드Cross-Lingual Question Answering over Knowledge Base as Reading Comprehension
https://github.com/manestay/paxqa
공식 코드PAXQA: Generating Cross-lingual Question Answering Examples at Training Scale
https://github.com/microsoft/unilm
공식 코드Synthetic Data Augmentation for Zero-Shot Cross-Lingual Question Answering
https://github.com/studio-ousia/luke
공식 코드mLUKE: The Power of Entity Representations in Multilingual Pretrained Language Models
https://github.com/2023-MindSpore-1/ms-code-5/tree/main/luke
mLUKE: The Power of Entity Representations in Multilingual Pretrained Language Models
https://github.com/2024-MindSpore-1/Code2/tree/main/model-1/byt5
ByT5: Towards a token-free future with pre-trained byte-to-byte models
https://github.com/Beacontownfc/rembert_paddle
Rethinking embedding coupling in pre-trained language models
https://github.com/PaddlePaddle/PaddleNLP/tree/develop/examples/language_model/rembert
Rethinking embedding coupling in pre-trained language models
https://github.com/alon-albalak/xor-covid
On the Cross-lingual Transferability of Monolingual Representations
https://github.com/ccasimiro88/TranslateAlignRetrieve
On the Cross-lingual Transferability of Monolingual Representations
https://github.com/chrisociepa/allamo
https://github.com/coastalcph/zeroshot_lexglue
https://github.com/conceptofmind/PaLM-flax
https://github.com/declare-lab/flan-alpaca
https://github.com/eternityyw/tram-benchmark
https://github.com/formulamonks/llm-benchmarker-suite
https://github.com/foundation-model-stack/fms-fsdp
https://github.com/google-deepmind/xquad
On the Cross-lingual Transferability of Monolingual Representations
https://github.com/google-research/flan
https://github.com/google/paxml
https://github.com/huggingface/transformers/tree/master/src/transformers/models/byt5
ByT5: Towards a token-free future with pre-trained byte-to-byte models
https://github.com/joelniklaus/lawinstruct
https://github.com/kapllan/zeroshot_lexglue
https://github.com/lersouza/cross-lingual-transfer
On the Cross-lingual Transferability of Monolingual Representations
https://github.com/lmarent/TranslateAlignRetrieve
On the Cross-lingual Transferability of Monolingual Representations
https://github.com/lucidrains/CoCa-pytorch
https://github.com/lucidrains/PaLM-jax
https://github.com/lucidrains/PaLM-pytorch
https://github.com/pwc-1/Paper-5/tree/main/mluke
mLUKE: The Power of Entity Representations in Multilingual Pretrained Language Models
https://github.com/pwc-1/Paper-9/tree/main/2/mluke
mLUKE: The Power of Entity Representations in Multilingual Pretrained Language Models
https://github.com/somiltg/xquad
On the Cross-lingual Transferability of Monolingual Representations
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.