SOTAVerified

General Knowledge

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

Source: BIG-bench

Papers

Showing 181190 of 399 papers

TitleStatusHype
DAML-ST5: Low Resource Style Transfer via Domain Adaptive Meta Learning0
Improving Multi-label Emotion Classification by Integrating both General and Domain-specific Knowledge0
Data structuring for the ontological modelling of wind energy systems0
INCPrompt: Task-Aware incremental Prompting for Rehearsal-Free Class-incremental Learning0
GeoSQA: A Benchmark for Scenario-based Question Answering in the Geography Domain at High School Level0
A new algorithm for Subgroup Set Discovery based on Information Gain0
GFDC: Graph Function Dependence for Logically Consistent Dialogue Response Beyond Persona Data0
Insect-Foundation: A Foundation Model and Large Multimodal Dataset for Vision-Language Insect Understanding0
Context and Humor: Understanding Amul advertisements of India0
GeoEdit: Geometric Knowledge Editing for Large Language Models0
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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