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 221–230 of 399 papers

TitleStatusHype
Fast constrained sampling in pre-trained diffusion models—0
Few Exemplar-Based General Medical Image Segmentation via Domain-Aware Selective Adaptation—0
FlexiCrackNet: A Flexible Pipeline for Enhanced Crack Segmentation with General Features Transfered from SAM—0
SHARP: Unlocking Interactive Hallucination via Stance Transfer in Role-Playing Agents—0
GALA: Generating Animatable Layered Assets from a Single Scan—0
Generating Diverse Q&A Benchmarks for RAG Evaluation with DataMorgana—0
Generative Explore-Exploit: Training-free Optimization of Generative Recommender Systems using LLM Optimizers—0
Generative Meta-Learning for Zero-Shot Relation Triplet Extraction—0
Generative Retrieval and Alignment Model: A New Paradigm for E-commerce Retrieval—0
GeoEdit: Geometric Knowledge Editing for Large Language Models—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