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
GenKnowSub: Improving Modularity and Reusability of LLMs through General Knowledge SubtractionCode0
From Knowledge to Reasoning: Evaluating LLMs for Ionic Liquids Research in Chemical and Biological EngineeringCode0
Latte: Transfering LLMs` Latent-level Knowledge for Few-shot Tabular Learning—0
Enhancing Target-unspecific Tasks through a Features Matrix—0
VLM Q-Learning: Aligning Vision-Language Models for Interactive Decision-Making—0
Learning Unknown Spoof Prompts for Generalized Face Anti-Spoofing Using Only Real Face Images—0
SAM-Guided Robust Representation Learning for One-Shot 3D Medical Image Segmentation—0
PASS-FC: Progressive and Adaptive Search Scheme for Fact Checking of Comprehensive Claims—0
Multi-task Federated Learning with Encoder-Decoder Structure: Enabling Collaborative Learning Across Different Tasks—0
Knowledge Distillation for Underwater Feature Extraction and Matching via GAN-synthesized Images—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