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 251–275 of 399 papers

TitleStatusHype
ASLseg: Adapting SAM in the Loop for Semi-supervised Liver Tumor Segmentation—0
Shifted Autoencoders for Point Annotation Restoration in Object Counting—0
Towards Difficulty-Agnostic Efficient Transfer Learning for Vision-Language ModelsCode0
AcademicGPT: Empowering Academic Research—0
Towards Few-shot Out-of-Distribution Detection—0
PELMS: Pre-training for Effective Low-Shot Multi-Document SummarizationCode0
Exploring Recommendation Capabilities of GPT-4V(ision): A Preliminary Case StudyCode0
Scene-Driven Multimodal Knowledge Graph Construction for Embodied AI—0
SAGE: Smart home Agent with Grounded Execution—0
Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained ModelCode0
Test-Time Self-Adaptive Small Language Models for Question AnsweringCode0
Motif-Based Prompt Learning for Universal Cross-Domain Recommendation—0
Learning to Adapt SAM for Segmenting Cross-domain Point Clouds—0
Dobby: A Conversational Service Robot Driven by GPT-4—0
Profit: Benchmarking Personalization and Robustness Trade-off in Federated Prompt Tuning—0
Key Factors Affecting European Reactions to AI in European Full and Flawed Democracies—0
Assessing Look-Ahead Bias in Stock Return Predictions Generated By GPT Sentiment Analysis—0
Leveraging Large Language Models for Automated Dialogue AnalysisCode0
Learning to Model the World with Language—0
Multilingual Tourist Assistance using ChatGPT: Comparing Capabilities in Hindi, Telugu, and Kannada—0
A new algorithm for Subgroup Set Discovery based on Information Gain—0
ConKI: Contrastive Knowledge Injection for Multimodal Sentiment Analysis—0
Investigating Pre-trained Language Models on Cross-Domain Datasets, a Step Closer to General AI—0
Can ChatGPT Enable ITS? The Case of Mixed Traffic Control via Reinforcement LearningCode0
Evaluating Prompt-based Question Answering for Object Prediction in the Open Research Knowledge GraphCode0
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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