SOTAVerified

General Knowledge

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

Source: BIG-bench

Papers

Showing 191200 of 399 papers

TitleStatusHype
Intelligent Conversational Bot for Massive Online Open Courses (MOOCs)0
Intelligent Design 4.0: Paradigm Evolution Toward the Agentic AI Era0
Investigating Forgetting in Pre-Trained Representations Through Continual Learning0
Investigating Pre-trained Language Models on Cross-Domain Datasets, a Step Closer to General AI0
AcademicGPT: Empowering Academic Research0
Joint Embedding Learning of Educational Knowledge Graphs0
Juru: Legal Brazilian Large Language Model from Reputable Sources0
KAER: A Knowledge Augmented Pre-Trained Language Model for Entity Resolution0
KALA: Knowledge-Augmented Language Model Adaptation0
DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning0
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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