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Reading Comprehension On Reclor

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이 벤치마크에서 각 모델의 성능 결과

Paper Title
Rational Reasoner / IDOL80.6IDOL: Indicator-oriented Logic Pre-training for Logical Reasoning
AMR-LE-Ensemble80.0-
MERIt-deberta-v2-xxlarge deberta.v2.xxlarge.path.override_True.norm_1.1.0.w2.A100.cp200.s4279.3-
MERIt(MERIt-deberta-v2-xxlarge )79.3MERIt: Meta-Path Guided Contrastive Learning for Logical Reasoning
Knowledge model79.2-
DeBERTa-v2-xxlarge-AMR-LE-Contraposition77.2-
LReasoner ensemble76.1Logic-Driven Context Extension and Data Augmentation for Logical Reasoning of Text
ELECTRA and ALBERT71.0Answer Uncertainty and Unanswerability in Multiple-Choice Machine Reading Comprehension
WWZ69.7-
xlnet-large-uncased [extended data]69.3-
albert_4gpus_bs2_DACE68.6-
Tournament266.7-
MERIt + Structure Decouple (roberta-large)65.6-
RoBERTa-single63.5Logiformer: A Two-Branch Graph Transformer Network for Interpretable Logical Reasoning
MERIT w/ reasoning aware63.2-
ALBERT-XXLarge-V262.6-
ro_DA_CE_v100_22461.7-
VDGN(RoBERTa single model)61.7-
qmcurtis60.3-
Zhangjie66660.2-
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Reading Comprehension On Reclor | SOTA | HyperAI초신경