SOTAVerified

General Knowledge

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

Source: BIG-bench

Papers

Showing 331340 of 399 papers

TitleStatusHype
Exploiting Adapters for Cross-lingual Low-resource Speech RecognitionCode0
Explainable Hierarchical Imitation Learning for Robotic Drink Pouring0
Meta-Inductive Node Classification across Graphs0
Spirit Distillation: A Model Compression Method with Multi-domain Knowledge Transfer0
One to Many: Adaptive Instrument Segmentation via Meta Learning and Dynamic Online Adaptation in Robotic Surgical Video0
Multi-View Feature Representation for Dialogue Generation with Bidirectional Distillation0
Towards Knowledge-Augmented Visual Question AnsweringCode0
Transfer learning of chaotic systems0
Tencent AI Lab Machine Translation Systems for WMT20 Chat Translation Task0
Learning Physical Common Sense as Knowledge Graph Completion via BERT Data Augmentation and Constrained Tucker Factorization0
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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