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 91–100 of 399 papers

TitleStatusHype
SAFE: Slow and Fast Parameter-Efficient Tuning for Continual Learning with Pre-Trained ModelsCode1
Evaluating Company-specific Biases in Financial Sentiment Analysis using Large Language Models—0
A Comparison of Prompt Engineering Techniques for Task Planning and Execution in Service RoboticsCode0
AdaptGCD: Multi-Expert Adapter Tuning for Generalized Category Discovery—0
Point-PRC: A Prompt Learning Based Regulation Framework for Generalizable Point Cloud AnalysisCode1
Bridge-Coder: Unlocking LLMs' Potential to Overcome Language Gaps in Low-Resource Code—0
Should We Really Edit Language Models? On the Evaluation of Edited Language ModelsCode0
Fast constrained sampling in pre-trained diffusion models—0
VoiceBench: Benchmarking LLM-Based Voice AssistantsCode3
Boosting LLM Translation Skills without General Ability Loss via Rationale Distillation—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