SOTAVerified

General Knowledge

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

Source: BIG-bench

Papers

Showing 1120 of 399 papers

TitleStatusHype
BnMMLU: Measuring Massive Multitask Language Understanding in BengaliCode0
A General Knowledge Injection Framework for ICD CodingCode1
Does Localization Inform Unlearning? A Rigorous Examination of Local Parameter Attribution for Knowledge Unlearning in Language Models0
Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives0
Who You Are Matters: Bridging Topics and Social Roles via LLM-Enhanced Logical Recommendation0
GenKnowSub: Improving Modularity and Reusability of LLMs through General Knowledge SubtractionCode0
MMRL++: Parameter-Efficient and Interaction-Aware Representation Learning for Vision-Language ModelsCode2
From Knowledge to Reasoning: Evaluating LLMs for Ionic Liquids Research in Chemical and Biological EngineeringCode0
Latte: Transfering LLMs` Latent-level Knowledge for Few-shot Tabular Learning0
VLM Q-Learning: Aligning Vision-Language Models for Interactive Decision-Making0
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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