SOTAVerified

General Knowledge

This task aims to evaluate the ability of a model to answer general-knowledge questions.

Source: BIG-bench

Papers

Showing 271280 of 399 papers

TitleStatusHype
Score: A Rule Engine for the Scone Knowledge Base System0
scReader: Prompting Large Language Models to Interpret scRNA-seq Data0
Sculpting [CLS] Features for Pre-Trained Model-Based Class-Incremental Learning0
Semi-Supervised Medical Image Segmentation via Knowledge Mining from Large Models0
Sens-Merging: Sensitivity-Guided Parameter Balancing for Merging Large Language Models0
SOK-Bench: A Situated Video Reasoning Benchmark with Aligned Open-World Knowledge0
Some Epistemological Problems with the Knowledge Level in Cognitive Architectures0
Specifying Conceptual Models Using Restricted Natural Language0
Spirit Distillation: A Model Compression Method with Multi-domain Knowledge Transfer0
Spoken Conversational Search for General Knowledge0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Chinchilla-70B (few-shot, k=5)Accuracy94.3Unverified
2Gopher-280B (few-shot, k=5)Accuracy93.9Unverified
3Chinchilla-70B (few-shot, k=5)Accuracy 85.7Unverified
4Gopher-280B (few-shot, k=5)Accuracy 84.8Unverified
5Gopher-280B (few-shot, k=5)Accuracy84.2Unverified
6Gopher-280B (few-shot, k=5)Accuracy 84.1Unverified
7Gopher-280B (few-shot, k=5)Accuracy 83.9Unverified
8Gopher-280B (few-shot, k=5)Accuracy83.3Unverified
9Gopher-280B (few-shot, k=5)Accuracy 81.8Unverified
10Gopher-280B (few-shot, k=5)Accuracy 81Unverified