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
PROL : Rehearsal Free Continual Learning in Streaming Data via Prompt Online LearningCode0
G-MAP: General Memory-Augmented Pre-trained Language Model for Domain TasksCode0
Visual Question Answering: A Survey of Methods and DatasetsCode0
From Knowledge to Reasoning: Evaluating LLMs for Ionic Liquids Research in Chemical and Biological EngineeringCode0
Quantized Prompt for Efficient Generalization of Vision-Language ModelsCode0
World Knowledge in Multiple Choice Reading ComprehensionCode0
Foundation X: Integrating Classification, Localization, and Segmentation through Lock-Release Pretraining Strategy for Chest X-ray AnalysisCode0
Fed-CO2: Cooperation of Online and Offline Models for Severe Data Heterogeneity in Federated LearningCode0
Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained ModelCode0
Exploring Recommendation Capabilities of GPT-4V(ision): A Preliminary Case StudyCode0
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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