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 321–330 of 399 papers

TitleStatusHype
Sample-Efficient Behavior Cloning Using General Domain Knowledge—0
Scalable Multi-Domain Adaptation of Language Models using Modular Experts—0
AnomalyPainter: Vision-Language-Diffusion Synergy for Zero-Shot Realistic and Diverse Industrial Anomaly Synthesis—0
Scene-Driven Multimodal Knowledge Graph Construction for Embodied AI—0
When Life gives you LLMs, make LLM-ADE: Large Language Models with Adaptive Data Engineering—0
Score: A Rule Engine for the Scone Knowledge Base System—0
scReader: Prompting Large Language Models to Interpret scRNA-seq Data—0
Sculpting [CLS] Features for Pre-Trained Model-Based Class-Incremental Learning—0
An Energy Ontology for Global City Indicators (ISO 37120)—0
Analysis of Watson's Strategies for Playing Jeopardy!—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