SOTAVerified

General Knowledge

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

Source: BIG-bench

Papers

Showing 221230 of 399 papers

TitleStatusHype
Learning to Adapt SAM for Segmenting Cross-domain Point Clouds0
Dobby: A Conversational Service Robot Driven by GPT-40
Profit: Benchmarking Personalization and Robustness Trade-off in Federated Prompt Tuning0
Key Factors Affecting European Reactions to AI in European Full and Flawed Democracies0
Assessing Look-Ahead Bias in Stock Return Predictions Generated By GPT Sentiment Analysis0
Leveraging Large Language Models for Automated Dialogue AnalysisCode0
HAE-RAE Bench: Evaluation of Korean Knowledge in Language ModelsCode1
Overcoming Generic Knowledge Loss with Selective Parameter UpdateCode1
DR-Tune: Improving Fine-tuning of Pretrained Visual Models by Distribution Regularization with Semantic CalibrationCode1
PMET: Precise Model Editing in a TransformerCode1
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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