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 226–250 of 399 papers

TitleStatusHype
Generative Explore-Exploit: Training-free Optimization of Generative Recommender Systems using LLM Optimizers—0
ContextFlow++: Generalist-Specialist Flow-based Generative Models with Mixed-Variable Context EncodingCode0
SOK-Bench: A Situated Video Reasoning Benchmark with Aligned Open-World Knowledge—0
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
Juru: Legal Brazilian Large Language Model from Reputable Sources—0
Are LLMs Good Cryptic Crossword Solvers?—0
DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning—0
Deep Prompt Multi-task Network for Abuse Language Detection—0
K-Link: Knowledge-Link Graph from LLMs for Enhanced Representation Learning in Multivariate Time-Series Data—0
Pruning neural network models for gene regulatory dynamics using data and domain knowledgeCode0
Bootstrapping Cognitive Agents with a Large Language Model—0
Inductive Graph Alignment Prompt: Bridging the Gap between Graph Pre-training and Inductive Fine-tuning From Spectral Perspective—0
GALA: Generating Animatable Layered Assets from a Single Scan—0
INCPrompt: Task-Aware incremental Prompting for Rehearsal-Free Class-incremental Learning—0
KD-DETR: Knowledge Distillation for Detection Transformer with Consistent Distillation Points Sampling—0
A Unified Industrial Large Knowledge Model Framework in Industry 4.0 and Smart Manufacturing—0
Fed-CO2: Cooperation of Online and Offline Models for Severe Data Heterogeneity in Federated LearningCode0
Show:102550
← PrevPage 10 of 16Next →

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