SOTAVerified

General Knowledge

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

Source: BIG-bench

Papers

Showing 291300 of 399 papers

TitleStatusHype
Low Resource Style Transfer via Domain Adaptive Meta Learning0
Relphormer: Relational Graph Transformer for Knowledge Graph RepresentationsCode1
PASH at TREC 2021 Deep Learning Track: Generative Enhanced Model for Multi-stage Ranking0
Seed-Guided Topic Discovery with Out-of-Vocabulary SeedsCode1
Knowledge Graph Contrastive Learning for RecommendationCode1
KALA: Knowledge-Augmented Language Model AdaptationCode1
Knowledgebra: An Algebraic Learning Framework for Knowledge Graph0
TOV: The Original Vision Model for Optical Remote Sensing Image Understanding via Self-supervised Learning0
Training Compute-Optimal Large Language ModelsCode6
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