SOTAVerified

General Knowledge

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

Source: BIG-bench

Papers

Showing 391399 of 399 papers

TitleStatusHype
Towards a Continuous Knowledge Learning Engine for Chatbots0
Efficient illumination angle self-calibration in Fourier ptychography0
GOT4Rec: Graph of Thoughts for Sequential Recommendation0
GRL-Prompt: Towards Knowledge Graph based Prompt Optimization via Reinforcement Learning0
Dominance-based Rough Set Approach, basic ideas and main trends0
Domain Specific, Semi-Supervised Transfer Learning for Medical Imaging0
Does Localization Inform Unlearning? A Rigorous Examination of Local Parameter Attribution for Knowledge Unlearning in Language Models0
Hierarchical Inductive Transfer for Continual Dialogue Learning0
Hierarchical Inductive Transfer for Continual Dialogue 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