SOTAVerified

General Knowledge

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

Source: BIG-bench

Papers

Showing 7180 of 399 papers

TitleStatusHype
MoColl: Agent-Based Specific and General Model Collaboration for Image Captioning0
KnowRA: Knowledge Retrieval Augmented Method for Document-level Relation Extraction with Comprehensive Reasoning Abilities0
RAG with Differential PrivacyCode1
scReader: Prompting Large Language Models to Interpret scRNA-seq Data0
Survey on Abstractive Text Summarization: Dataset, Models, and MetricsCode0
Extending TWIG: Zero-Shot Predictive Hyperparameter Selection for KGEs based on Graph Structure0
Are Longer Prompts Always Better? Prompt Selection in Large Language Models for Recommendation Systems0
LLM-RG4: Flexible and Factual Radiology Report Generation across Diverse Input ContextsCode2
MoSLD: An Extremely Parameter-Efficient Mixture-of-Shared LoRAs for Multi-Task Learning0
What Makes Cryptic Crosswords Challenging for LLMs?Code0
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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