SOTAVerified

General Knowledge

This task aims to evaluate the ability of a model to answer general-knowledge questions.

Source: BIG-bench

Papers

Showing 131140 of 399 papers

TitleStatusHype
An Ad-hoc graph node vector embedding algorithm for general knowledge graphs using Kinetica-Graph0
Prior Knowledge Integration via LLM Encoding and Pseudo Event Regulation for Video Moment RetrievalCode2
Quantized Prompt for Efficient Generalization of Vision-Language ModelsCode0
All Roads Lead to Rome: Unveiling the Trajectory of Recommender Systems Across the LLM Era0
Microsoft Cloud-based Digitization Workflow with Rich Metadata Acquisition for Cultural Heritage Objects0
Igea: a Decoder-Only Language Model for Biomedical Text Generation in Italian0
ElecBench: a Power Dispatch Evaluation Benchmark for Large Language ModelsCode1
SAM-Med3D-MoE: Towards a Non-Forgetting Segment Anything Model via Mixture of Experts for 3D Medical Image Segmentation0
Me, Myself, and AI: The Situational Awareness Dataset (SAD) for LLMsCode1
SAFT: Towards Out-of-Distribution Generalization in Fine-Tuning0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Chinchilla-70B (few-shot, k=5)Accuracy94.3Unverified
2Gopher-280B (few-shot, k=5)Accuracy93.9Unverified
3Chinchilla-70B (few-shot, k=5)Accuracy 85.7Unverified
4Gopher-280B (few-shot, k=5)Accuracy 84.8Unverified
5Gopher-280B (few-shot, k=5)Accuracy84.2Unverified
6Gopher-280B (few-shot, k=5)Accuracy 84.1Unverified
7Gopher-280B (few-shot, k=5)Accuracy 83.9Unverified
8Gopher-280B (few-shot, k=5)Accuracy83.3Unverified
9Gopher-280B (few-shot, k=5)Accuracy 81.8Unverified
10Gopher-280B (few-shot, k=5)Accuracy 81Unverified