SOTAVerified

General Knowledge

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

Source: BIG-bench

Papers

Showing 311320 of 399 papers

TitleStatusHype
KALA: Knowledge-Augmented Language Model Adaptation0
Transformer Based Bengali Chatbot Using General Knowledge Dataset0
BEAMetrics: A Benchmark for Language Generation Evaluation EvaluationCode1
Successive POI Recommendation via Brain-inspired Spatiotemporal Aware Representation0
An Adaptive Deep Learning Framework for Day-ahead Forecasting of Photovoltaic Power Generation0
Commonsense Knowledge in Word Associations and ConceptNetCode0
Generative Pre-Training from MoleculesCode1
Teaching Uncertainty Quantification in Machine Learning through Use Cases0
Low-Resource Adaptation of Open-Domain Generative Chatbots0
Importance-based Neuron Allocation for Multilingual Neural Machine TranslationCode1
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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