SOTAVerified

General Knowledge

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

Source: BIG-bench

Papers

Showing 111120 of 399 papers

TitleStatusHype
Unveiling Causal Reasoning in Large Language Models: Reality or Mirage?Code0
Improving Personalized Search with Regularized Low-Rank Parameter UpdatesCode0
Intelligent Design 4.0: Paradigm Evolution Toward the Agentic AI Era0
MobiEdit: Resource-efficient Knowledge Editing for Personalized On-device LLMs0
HSSBench: Benchmarking Humanities and Social Sciences Ability for Multimodal Large Language ModelsCode0
STELLA: Towards Protein Function Prediction with Multimodal LLMs Integrating Sequence-Structure Representations0
BnMMLU: Measuring Massive Multitask Language Understanding in BengaliCode0
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
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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