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 151–160 of 399 papers

TitleStatusHype
Differentially Private Distributed Learning for Language Modeling Tasks—0
AdaptGCD: Multi-Expert Adapter Tuning for Generalized Category Discovery—0
Improving Multi-label Emotion Classification by Integrating both General and Domain-specific Knowledge—0
Inductive Graph Alignment Prompt: Bridging the Gap between Graph Pre-training and Inductive Fine-tuning From Spectral Perspective—0
Investigating Forgetting in Pre-Trained Representations Through Continual Learning—0
Deep Prompt Multi-task Network for Abuse Language Detection—0
Data structuring for the ontological modelling of wind energy systems—0
Benchmarking Generative Models on Computational Thinking Tests in Elementary Visual Programming—0
An Adaptive Deep Learning Framework for Day-ahead Forecasting of Photovoltaic Power Generation—0
DAML-ST5: Low Resource Style Transfer via Domain Adaptive Meta Learning—0
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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