SOTAVerified

General Knowledge

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

Source: BIG-bench

Papers

Showing 161170 of 399 papers

TitleStatusHype
All Roads Lead to Rome: Unveiling the Trajectory of Recommender Systems Across the LLM Era0
Adapter-based Approaches to Knowledge-enhanced Language Models -- A Survey0
Insect-Foundation: A Foundation Model and Large Multimodal Dataset for Vision-Language Insect Understanding0
BAPO: Base-Anchored Preference Optimization for Overcoming Forgetting in Large Language Models Personalization0
CoRA: Collaborative Information Perception by Large Language Model's Weights for Recommendation0
Controversy Rules - Discovering Regions Where Classifiers (Dis-)Agree Exceptionally0
Acquiring Knowledge from Pre-trained Model to Neural Machine Translation0
GRL-Prompt: Towards Knowledge Graph based Prompt Optimization via Reinforcement Learning0
GOT4Rec: Graph of Thoughts for Sequential Recommendation0
Autonomous Intelligent Software Development0
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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