SOTAVerified

General Knowledge

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

Source: BIG-bench

Papers

Showing 241250 of 399 papers

TitleStatusHype
Deep Prompt Multi-task Network for Abuse Language Detection0
K-Link: Knowledge-Link Graph from LLMs for Enhanced Representation Learning in Multivariate Time-Series Data0
Pruning neural network models for gene regulatory dynamics using data and domain knowledgeCode0
Bootstrapping Cognitive Agents with a Large Language Model0
Inductive Graph Alignment Prompt: Bridging the Gap between Graph Pre-training and Inductive Fine-tuning From Spectral Perspective0
GALA: Generating Animatable Layered Assets from a Single Scan0
INCPrompt: Task-Aware incremental Prompting for Rehearsal-Free Class-incremental Learning0
KD-DETR: Knowledge Distillation for Detection Transformer with Consistent Distillation Points Sampling0
A Unified Industrial Large Knowledge Model Framework in Industry 4.0 and Smart Manufacturing0
Fed-CO2: Cooperation of Online and Offline Models for Severe Data Heterogeneity in Federated LearningCode0
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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