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 351–360 of 399 papers

TitleStatusHype
Domain Generalization via Model-Agnostic Learning of Semantic FeaturesCode0
Model Compression with Two-stage Multi-teacher Knowledge Distillation for Web Question Answering System—0
Spoken Conversational Search for General Knowledge—0
A Human-Centered Data-Driven Planner-Actor-Critic Architecture via Logic Programming—0
QuaRTz: An Open-Domain Dataset of Qualitative Relationship Questions—0
GeoSQA: A Benchmark for Scenario-based Question Answering in the Geography Domain at High School Level—0
Joey NMT: A Minimalist NMT Toolkit for NovicesCode0
T-Norms Driven Loss Functions for Machine Learning—0
Integration of Imitation Learning using GAIL and Reinforcement Learning using Task-achievement Rewards via Probabilistic Graphical Model—0
A Joint Planning and Learning Framework for Human-Aided Decision-Making—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