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 201–225 of 399 papers

TitleStatusHype
Dobby: A Conversational Service Robot Driven by GPT-4—0
Does Localization Inform Unlearning? A Rigorous Examination of Local Parameter Attribution for Knowledge Unlearning in Language Models—0
Domain Specific, Semi-Supervised Transfer Learning for Medical Imaging—0
Dominance-based Rough Set Approach, basic ideas and main trends—0
Efficient illumination angle self-calibration in Fourier ptychography—0
Enabling Autonomic Microservice Management through Self-Learning Agents—0
Enhance Graph Alignment for Large Language Models—0
Enhancing Action Recognition from Low-Quality Skeleton Data via Part-Level Knowledge Distillation—0
Enhancing Target-unspecific Tasks through a Features Matrix—0
Evaluating Company-specific Biases in Financial Sentiment Analysis using Large Language Models—0
Evaluating Consistency and Reasoning Capabilities of Large Language Models—0
Evaluating Polish linguistic and cultural competency in large language models—0
Evident: a Development Methodology and a Knowledge Base Topology for Data Mining, Machine Learning and General Knowledge Management—0
Explainable Hierarchical Imitation Learning for Robotic Drink Pouring—0
Exploit CAM by itself: Complementary Learning System for Weakly Supervised Semantic Segmentation—0
Explicit Utilization of General Knowledge in Machine Reading Comprehension—0
Exploring Safety-Utility Trade-Offs in Personalized Language Models—0
Exploring Zero-Shot Anomaly Detection with CLIP in Medical Imaging: Are We There Yet?—0
Extending TWIG: Zero-Shot Predictive Hyperparameter Selection for KGEs based on Graph Structure—0
Extracting Unlearned Information from LLMs with Activation Steering—0
Fast constrained sampling in pre-trained diffusion models—0
Few Exemplar-Based General Medical Image Segmentation via Domain-Aware Selective Adaptation—0
FlexiCrackNet: A Flexible Pipeline for Enhanced Crack Segmentation with General Features Transfered from SAM—0
SHARP: Unlocking Interactive Hallucination via Stance Transfer in Role-Playing Agents—0
GALA: Generating Animatable Layered Assets from a Single Scan—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