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 121–130 of 399 papers

TitleStatusHype
Enhancing Target-unspecific Tasks through a Features Matrix—0
GALA: Generating Animatable Layered Assets from a Single Scan—0
Efficient illumination angle self-calibration in Fourier ptychography—0
Evaluating Company-specific Biases in Financial Sentiment Analysis using Large Language Models—0
Evaluating Consistency and Reasoning Capabilities of Large Language Models—0
Evaluating Polish linguistic and cultural competency in large language models—0
Bridge-Coder: Unlocking LLMs' Potential to Overcome Language Gaps in Low-Resource Code—0
Bootstrapping Cognitive Agents with a Large Language Model—0
PMoE: Progressive Mixture of Experts with Asymmetric Transformer for Continual Learning—0
Generating Diverse Q&A Benchmarks for RAG Evaluation with DataMorgana—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