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 371–380 of 399 papers

TitleStatusHype
AdaptGCD: Multi-Expert Adapter Tuning for Generalized Category Discovery—0
Few Exemplar-Based General Medical Image Segmentation via Domain-Aware Selective Adaptation—0
Evaluating Polish linguistic and cultural competency in large language models—0
FlexiCrackNet: A Flexible Pipeline for Enhanced Crack Segmentation with General Features Transfered from SAM—0
Evaluating Consistency and Reasoning Capabilities of Large Language Models—0
Adapter-based Approaches to Knowledge-enhanced Language Models -- A Survey—0
SHARP: Unlocking Interactive Hallucination via Stance Transfer in Role-Playing Agents—0
TOV: The Original Vision Model for Optical Remote Sensing Image Understanding via Self-supervised Learning—0
Evaluating Company-specific Biases in Financial Sentiment Analysis using Large Language Models—0
GALA: Generating Animatable Layered Assets from a Single Scan—0
Show:102550
← PrevPage 38 of 40Next →

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