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홈 뉴스 최신 연구 논문 튜토리얼 데이터셋 백과사전 SOTA LLM 모델 GPU 랭킹 컨퍼런스

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Data To Text Generation On Cleaned E2E Nlg 1

평가 지표

BLEU (Test set)

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름	BLEU (Test set)	Paper Title	Repository
DataTuner_FC	43.6	Have Your Text and Use It Too! End-to-End Neural Data-to-Text Generation with Semantic Fidelity	-
TGen	-	The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics	-
Control Prefixes (T5-large)	44.15	Control Prefixes for Parameter-Efficient Text Generation	-
LSTM	-	The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics	-
T5	-	The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics	-
TGen	40.73	Semantic Noise Matters for Neural Natural Language Generation	-
BART	-	The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics	-

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Data To Text Generation On Cleaned E2E Nlg 1 | SOTA | HyperAI초신경