SOTAVerified

General Knowledge

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

Source: BIG-bench

Papers

Showing 171180 of 399 papers

TitleStatusHype
Juru: Legal Brazilian Large Language Model from Reputable Sources0
GRL-Prompt: Towards Knowledge Graph based Prompt Optimization via Reinforcement Learning0
GOT4Rec: Graph of Thoughts for Sequential Recommendation0
How to Complete Domain Tuning while Keeping General Ability in LLM: Adaptive Layer-wise and Element-wise Regularization0
Autonomous Intelligent Software Development0
AILS-NTUA at SemEval-2025 Task 4: Parameter-Efficient Unlearning for Large Language Models using Data Chunking0
GeoSQA: A Benchmark for Scenario-based Question Answering in the Geography Domain at High School Level0
GFDC: Graph Function Dependence for Logically Consistent Dialogue Response Beyond Persona Data0
Context and Humor: Understanding Amul advertisements of India0
GeoEdit: Geometric Knowledge Editing for Large Language Models0
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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