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 211–220 of 399 papers

TitleStatusHype
Evaluating Consistency and Reasoning Capabilities of Large Language Models—0
Evaluating Polish linguistic and cultural competency in large language models—0
Evident: a Development Methodology and a Knowledge Base Topology for Data Mining, Machine Learning and General Knowledge Management—0
Explainable Hierarchical Imitation Learning for Robotic Drink Pouring—0
Exploit CAM by itself: Complementary Learning System for Weakly Supervised Semantic Segmentation—0
Explicit Utilization of General Knowledge in Machine Reading Comprehension—0
Exploring Safety-Utility Trade-Offs in Personalized Language Models—0
Exploring Zero-Shot Anomaly Detection with CLIP in Medical Imaging: Are We There Yet?—0
Extending TWIG: Zero-Shot Predictive Hyperparameter Selection for KGEs based on Graph Structure—0
Extracting Unlearned Information from LLMs with Activation Steering—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