GESA 500M

Reported on 2 benchmarks across 1 task · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Natural Language Processing2 results

Common Sense ReasoningonReCoRD
EM· 2023-07-19
91.7
best: 95.9 (Turing NLR v5 XXL 5.4B (fine-tuned))
Integrating a Heterogeneous Graph with Entity-aware Self-attention using Relative Position Labels for Reading Comprehension Model arXiv:2307.10443
Common Sense ReasoningonReCoRD
F1· 2023-07-19
92.2
best: 96.4 (Turing NLR v5 XXL 5.4B (fine-tuned))
Integrating a Heterogeneous Graph with Entity-aware Self-attention using Relative Position Labels for Reading Comprehension Model arXiv:2307.10443