SOTAVerified

General Knowledge

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

Source: BIG-bench

Papers

Showing 381390 of 399 papers

TitleStatusHype
Automated Phrase Mining from Massive Text CorporaCode1
ConceptNet 5.5: An Open Multilingual Graph of General KnowledgeCode2
Knowledge Completion for Generics using Guided Tensor Factorization0
Visual Question Answering: A Survey of Methods and DatasetsCode0
Neural Discourse Relation Recognition with Semantic Memory0
Image Captioning and Visual Question Answering Based on Attributes and External Knowledge0
TabMCQ: A Dataset of General Knowledge Tables and Multiple-choice Questions0
Intelligent Conversational Bot for Massive Online Open Courses (MOOCs)0
Some Epistemological Problems with the Knowledge Level in Cognitive Architectures0
Ask Me Anything: Free-form Visual Question Answering Based on Knowledge from External Sources0
Show:102550
← PrevPage 39 of 40Next →

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