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Riddle Sense
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/eternityyw/tram-benchmark
https://github.com/expertailab/spaceqa
https://github.com/facebookresearch/anli
https://github.com/few-shot-NER-benchmark/BaselineCode
https://github.com/flexible-fl/flex-nlp
https://github.com/haisongzhang/roberta-tiny-cased
https://github.com/hkuds/easyrec
https://github.com/huggingface/transformers
https://github.com/ibm/vira-intent-discovery
https://github.com/karpathy/llama2.c
https://github.com/kaushaltrivedi/fast-bert
https://github.com/knuddj1/op_text
https://github.com/knuddy/op_text
https://github.com/lashoun/hanna-benchmark-asg
https://github.com/lvyufeng/bert4ms
https://github.com/mthcom/hscore-dataset-pruning
https://github.com/musixmatchresearch/umberto
https://github.com/nguyenvulebinh/vietnamese-roberta
https://github.com/nkluge-correa/teenytinyllama
https://github.com/obi-ml-public/ehr_deidentification
https://github.com/octanove/shiba
https://github.com/oneflow-inc/libai
https://github.com/pisalore/roberta_results
https://github.com/pwc-1/Paper-9/tree/main/5/xlm_roberta
https://github.com/ricaelum42/Contextual-Twitter-Sarcasm-Detection
https://github.com/rucaibox/safe
QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering
https://github.com/rvlopes/gloria
Scaling Language Models: Methods, Analysis & Insights from Training Gopher
https://github.com/salesforce/codet5
https://github.com/sdadas/polish-roberta
https://github.com/simon-benigeri/narrative-generation
https://github.com/tighu20/Kaggle-Tweet-Sentiment-Extraction
https://github.com/tobias-opsahl/fact-or-fiction
QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering
https://github.com/traviscoan/cards
https://github.com/utterworks/fast-bert
https://github.com/viethoang1512/kpa
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.