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 126–150 of 399 papers

TitleStatusHype
Evaluating Polish linguistic and cultural competency in large language models—0
Bridge-Coder: Unlocking LLMs' Potential to Overcome Language Gaps in Low-Resource Code—0
Bootstrapping Cognitive Agents with a Large Language Model—0
PMoE: Progressive Mixture of Experts with Asymmetric Transformer for Continual Learning—0
Image Captioning and Visual Question Answering Based on Attributes and External Knowledge—0
Dominance-based Rough Set Approach, basic ideas and main trends—0
Boosting LLM Translation Skills without General Ability Loss via Rationale Distillation—0
Domain Specific, Semi-Supervised Transfer Learning for Medical Imaging—0
An Energy Ontology for Global City Indicators (ISO 37120)—0
Biomedical Large Languages Models Seem not to be Superior to Generalist Models on Unseen Medical Data—0
Does Localization Inform Unlearning? A Rigorous Examination of Local Parameter Attribution for Knowledge Unlearning in Language Models—0
BinBert: Binary Code Understanding with a Fine-tunable and Execution-aware Transformer—0
Dobby: A Conversational Service Robot Driven by GPT-4—0
DKT: Diverse Knowledge Transfer Transformer for Class Incremental Learning—0
Who You Are Matters: Bridging Topics and Social Roles via LLM-Enhanced Logical Recommendation—0
Hierarchical Inductive Transfer for Continual Dialogue Learning—0
GRL-Prompt: Towards Knowledge Graph based Prompt Optimization via Reinforcement Learning—0
Bilingual Evaluation of Language Models on General Knowledge in University Entrance Exams with Minimal Contamination—0
Distributed Fine-tuning of Language Models on Private Data—0
Analysis of Watson's Strategies for Playing Jeopardy!—0
Disentangling Knowledge-based and Visual Reasoning by Question Decomposition in KB-VQA—0
An Ad-hoc graph node vector embedding algorithm for general knowledge graphs using Kinetica-Graph—0
DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning—0
Differentially Private Distributed Learning for Language Modeling Tasks—0
AdaptGCD: Multi-Expert Adapter Tuning for Generalized Category Discovery—0
Show:102550
← PrevPage 6 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