SOTAVerified

General Knowledge

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

Source: BIG-bench

Papers

Showing 211220 of 399 papers

TitleStatusHype
Transaction Logic with (Complex) Events0
Knowledge Distillation for Underwater Feature Extraction and Matching via GAN-synthesized Images0
Knowledge Distillation via Instance-level Sequence Learning0
Data structuring for the ontological modelling of wind energy systems0
Transferable Natural Language Interface to Structured Queries aided by Adversarial Generation0
Knowledge Matters: Radiology Report Generation with General and Specific Knowledge0
DAML-ST5: Low Resource Style Transfer via Domain Adaptive Meta Learning0
Knowledge Representation and Extraction at Scale0
KnowRA: Knowledge Retrieval Augmented Method for Document-level Relation Extraction with Comprehensive Reasoning Abilities0
CoRA: Collaborative Information Perception by Large Language Model's Weights for Recommendation0
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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