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 21–30 of 399 papers

TitleStatusHype
Learning Unknown Spoof Prompts for Generalized Face Anti-Spoofing Using Only Real Face Images—0
Enhancing Target-unspecific Tasks through a Features Matrix—0
SAM-Guided Robust Representation Learning for One-Shot 3D Medical Image Segmentation—0
A Dual-Space Framework for General Knowledge Distillation of Large Language ModelsCode1
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
Universal Item Tokenization for Transferable Generative Recommendation—0
Planning Safety Trajectories with Dual-Phase, Physics-Informed, and Transportation Knowledge-Driven Large Language ModelsCode0
Generative Retrieval and Alignment Model: A New Paradigm for E-commerce Retrieval—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