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 76–100 of 399 papers

TitleStatusHype
MultiGPrompt for Multi-Task Pre-Training and Prompting on GraphsCode1
A Comprehensive Evaluation of GPT-4V on Knowledge-Intensive Visual Question AnsweringCode1
EPVT: Environment-aware Prompt Vision Transformer for Domain Generalization in Skin Lesion RecognitionCode1
Automated Phrase Mining from Massive Text CorporaCode1
PANDA: Prompt Transfer Meets Knowledge Distillation for Efficient Model AdaptationCode1
GKD: A General Knowledge Distillation Framework for Large-scale Pre-trained Language ModelCode1
DomainRAG: A Chinese Benchmark for Evaluating Domain-specific Retrieval-Augmented GenerationCode1
DR-Tune: Improving Fine-tuning of Pretrained Visual Models by Distribution Regularization with Semantic CalibrationCode1
Learning with Recoverable ForgettingCode1
CRoFT: Robust Fine-Tuning with Concurrent Optimization for OOD Generalization and Open-Set OOD DetectionCode1
CurriculumLoc: Enhancing Cross-Domain Geolocalization through Multi-Stage RefinementCode1
Dynamic Graph Enhanced Contrastive Learning for Chest X-ray Report GenerationCode1
DA-Ada: Learning Domain-Aware Adapter for Domain Adaptive Object DetectionCode1
BEAR: A Unified Framework for Evaluating Relational Knowledge in Causal and Masked Language ModelsCode1
Towards Task Sampler Learning for Meta-LearningCode1
FuseChat-3.0: Preference Optimization Meets Heterogeneous Model FusionCode1
Decoupling General and Personalized Knowledge in Federated Learning via Additive and Low-Rank DecompositionCode1
Benchmarking Large Language Models for Persian: A Preliminary Study Focusing on ChatGPTCode1
DIAGen: Diverse Image Augmentation with Generative ModelsCode1
Bert4XMR: Cross-Market Recommendation with Bidirectional Encoder Representations from TransformerCode1
Go From the General to the Particular: Multi-Domain Translation with Domain Transformation NetworksCode1
Better Question-Answering Models on a BudgetCode1
Health Index Estimation Through Integration of General Knowledge with Unsupervised LearningCode1
Dual Modality Prompt Tuning for Vision-Language Pre-Trained ModelCode1
CityBench: Evaluating the Capabilities of Large Language Models for Urban TasksCode1
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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