SOTAVerified

General Knowledge

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

Source: BIG-bench

Papers

Showing 291300 of 399 papers

TitleStatusHype
The World in My Mind: Visual Dialog with Adversarial Multi-modal Feature Encoding0
Thinking LLMs: General Instruction Following with Thought Generation0
TOV: The Original Vision Model for Optical Remote Sensing Image Understanding via Self-supervised Learning0
Towards a Continuous Knowledge Learning Engine for Chatbots0
Towards Few-shot Out-of-Distribution Detection0
Towards Generalizable Agents in Text-Based Educational Environments: A Study of Integrating RL with LLMs0
Towards Ontology Reshaping for KG Generation with User-in-the-Loop: Applied to Bosch Welding0
Transaction Logic with (Complex) Events0
Transferable Natural Language Interface to Structured Queries aided by Adversarial Generation0
Transfer learning of chaotic systems0
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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