SOTAVerified

General Knowledge

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

Source: BIG-bench

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 331–340 of 399 papers

TitleStatusHype
On the Usage of Continual Learning for Out-of-Distribution Generalization in Pre-trained Language Models of Code—0
Organizing Linked Data Quality Related Methods—0
Out of the Box: Reasoning with Graph Convolution Nets for Factual Visual Question Answering—0
A Joint Planning and Learning Framework for Human-Aided Decision-Making—0
PASH at TREC 2021 Deep Learning Track: Generative Enhanced Model for Multi-stage Ranking—0
Luminoso at SemEval-2018 Task 10: Distinguishing Attributes Using Text Corpora and Relational KnowledgeCode0
MM-Eval: A Hierarchical Benchmark for Modern Mongolian Evaluation in LLMsCode0
Leveraging Large Language Models for Automated Dialogue AnalysisCode0
Eraser: Jailbreaking Defense in Large Language Models via Unlearning Harmful KnowledgeCode0
Efficient Transfer Learning for Video-language Foundation ModelsCode0
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Benchmark Results

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