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 276–300 of 399 papers

TitleStatusHype
REFinD: Relation Extraction Financial DatasetCode0
ExplainCPE: A Free-text Explanation Benchmark of Chinese Pharmacist ExaminationCode0
Investigating Forgetting in Pre-Trained Representations Through Continual Learning—0
Score: A Rule Engine for the Scone Knowledge Base System—0
On the Usage of Continual Learning for Out-of-Distribution Generalization in Pre-trained Language Models of Code—0
"When Words Fail, Emojis Prevail": Generating Sarcastic Utterances with Emoji Using Valence Reversal and Semantic Incongruity—0
Generative Meta-Learning for Zero-Shot Relation Triplet Extraction—0
Colo-SCRL: Self-Supervised Contrastive Representation Learning for Colonoscopic Video Retrieval—0
Stop Words for Processing Software Engineering Documents: Do they Matter?—0
Video Question Answering Using CLIP-Guided Visual-Text Attention—0
Exploit CAM by itself: Complementary Learning System for Weakly Supervised Semantic Segmentation—0
Dive into the Resolution Augmentations and Metrics in Low Resolution Face Recognition: A Plain yet Effective New BaselineCode0
Ten Lessons We Have Learned in the New "Sparseland": A Short Handbook for Sparse Neural Network Researchers—0
KAER: A Knowledge Augmented Pre-Trained Language Model for Entity Resolution—0
DKT: Diverse Knowledge Transfer Transformer for Class Incremental Learning—0
PoE: a Panel of Experts for Generalized Automatic Dialogue Assessment—0
Efficient Relation-aware Neighborhood Aggregation in Graph Neural Networks via Tensor DecompositionCode0
G-MAP: General Memory-Augmented Pre-trained Language Model for Domain TasksCode0
Rethinking Two Consensuses of the Transferability in Deep Learning—0
Knowledge Distillation for Detection Transformer with Consistent Distillation Points SamplingCode0
World Knowledge in Multiple Choice Reading ComprehensionCode0
Evident: a Development Methodology and a Knowledge Base Topology for Data Mining, Machine Learning and General Knowledge Management—0
Dominance-based Rough Set Approach, basic ideas and main trends—0
Towards Ontology Reshaping for KG Generation with User-in-the-Loop: Applied to Bosch Welding—0
BinBert: Binary Code Understanding with a Fine-tunable and Execution-aware Transformer—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