SOTAVerified

General Knowledge

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

Source: BIG-bench

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 151–175 of 399 papers

TitleStatusHype
Benchmarking Generative Models on Computational Thinking Tests in Elementary Visual Programming—0
Learning from Natural Language Explanations for Generalizable Entity Matching—0
RAD: A Comprehensive Dataset for Benchmarking the Robustness of Image Anomaly DetectionCode1
DomainRAG: A Chinese Benchmark for Evaluating Domain-specific Retrieval-Augmented GenerationCode1
F-LMM: Grounding Frozen Large Multimodal ModelsCode2
Generative Explore-Exploit: Training-free Optimization of Generative Recommender Systems using LLM Optimizers—0
HYDRA: Model Factorization Framework for Black-Box LLM PersonalizationCode1
ContextFlow++: Generalist-Specialist Flow-based Generative Models with Mixed-Variable Context EncodingCode0
Slow and Steady Wins the Race: Maintaining Plasticity with Hare and Tortoise NetworksCode1
CRoFT: Robust Fine-Tuning with Concurrent Optimization for OOD Generalization and Open-Set OOD DetectionCode1
SOK-Bench: A Situated Video Reasoning Benchmark with Aligned Open-World Knowledge—0
Health Index Estimation Through Integration of General Knowledge with Unsupervised LearningCode1
MoST: Multi-modality Scene Tokenization for Motion Prediction—0
Towards Generalizable Agents in Text-Based Educational Environments: A Study of Integrating RL with LLMs—0
Enhancing Action Recognition from Low-Quality Skeleton Data via Part-Level Knowledge Distillation—0
Evaluating Consistency and Reasoning Capabilities of Large Language Models—0
Learning Electromagnetic Metamaterial Physics With ChatGPT—0
When Life gives you LLMs, make LLM-ADE: Large Language Models with Adaptive Data Engineering—0
Pretraining and Updates of Domain-Specific LLM: A Case Study in the Japanese Business Domain—0
Knowledge graphs for empirical concept retrievalCode0
Eraser: Jailbreaking Defense in Large Language Models via Unlearning Harmful KnowledgeCode0
BEAR: A Unified Framework for Evaluating Relational Knowledge in Causal and Masked Language ModelsCode1
Benchmarking Large Language Models for Persian: A Preliminary Study Focusing on ChatGPTCode1
Prompt Learning via Meta-RegularizationCode1
Juru: Legal Brazilian Large Language Model from Reputable Sources—0
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Benchmark Results

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