SOTAVerified

General Knowledge

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

Source: BIG-bench

Papers

Showing 341350 of 399 papers

TitleStatusHype
Spoken Conversational Search for General Knowledge0
STELLA: Towards Protein Function Prediction with Multimodal LLMs Integrating Sequence-Structure Representations0
Stop Words for Processing Software Engineering Documents: Do they Matter?0
Straight to the Facts: Learning Knowledge Base Retrieval for Factual Visual Question Answering0
AILS-NTUA at SemEval-2025 Task 4: Parameter-Efficient Unlearning for Large Language Models using Data Chunking0
Successive POI Recommendation via Brain-inspired Spatiotemporal Aware Representation0
A Human-Centered Data-Driven Planner-Actor-Critic Architecture via Logic Programming0
GeoSQA: A Benchmark for Scenario-based Question Answering in the Geography Domain at High School Level0
TabMCQ: A Dataset of General Knowledge Tables and Multiple-choice Questions0
"When Words Fail, Emojis Prevail": Generating Sarcastic Utterances with Emoji Using Valence Reversal and Semantic Incongruity0
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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