SOTAVerified

General Knowledge

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

Source: BIG-bench

Papers

Showing 161170 of 399 papers

TitleStatusHype
SOK-Bench: A Situated Video Reasoning Benchmark with Aligned Open-World Knowledge0
Health Index Estimation Through Integration of General Knowledge with Unsupervised LearningCode1
MoST: Multi-modality Scene Tokenization for Motion Prediction0
Towards Generalizable Agents in Text-Based Educational Environments: A Study of Integrating RL with LLMs0
Enhancing Action Recognition from Low-Quality Skeleton Data via Part-Level Knowledge Distillation0
Evaluating Consistency and Reasoning Capabilities of Large Language Models0
Learning Electromagnetic Metamaterial Physics With ChatGPT0
When Life gives you LLMs, make LLM-ADE: Large Language Models with Adaptive Data Engineering0
Pretraining and Updates of Domain-Specific LLM: A Case Study in the Japanese Business Domain0
Knowledge graphs for empirical concept retrievalCode0
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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