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 291–300 of 399 papers

TitleStatusHype
Biomedical Large Languages Models Seem not to be Superior to Generalist Models on Unseen Medical Data—0
BinBert: Binary Code Understanding with a Fine-tunable and Execution-aware Transformer—0
Pretraining and Updates of Domain-Specific LLM: A Case Study in the Japanese Business Domain—0
Bilingual Evaluation of Language Models on General Knowledge in University Entrance Exams with Minimal Contamination—0
Proceedings of the ISCA/ITG Workshop on Diversity in Large Speech and Language Models—0
Profit: Benchmarking Personalization and Robustness Trade-off in Federated Prompt Tuning—0
PMoE: Progressive Mixture of Experts with Asymmetric Transformer for Continual Learning—0
Benchmarking Generative Models on Computational Thinking Tests in Elementary Visual Programming—0
Prompting Encoder Models for Zero-Shot Classification: A Cross-Domain Study in Italian—0
BAPO: Base-Anchored Preference Optimization for Overcoming Forgetting in Large Language Models Personalization—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