Papers with Code · CC BY-SA 4.0

General Knowledge

32 평가 기록 8 datasets

This task aims to evaluate the ability of a model to answer general-knowledge questions.

Source: BIG-bench

논문

TheoremQA: A Theorem-driven Question Answering dataset

2305.12524 2023-05-21 이 페이지의 평가 11건

Accuracy: 52.4

DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving

2407.13690 2024-06-18 이 페이지의 평가 8건

Accuracy: 32.5

Post Processing Recommender Systems with Knowledge Graphs for Recency, Popularity, and Diversity of Explanations

2204.11241 2022-04-24 이 페이지의 평가 4건

NDCG: 0.33

Scaling Language Models: Methods, Analysis & Insights from Training Gopher

2112.11446 2021-12-08 이 페이지의 평가 4건

Accuracy: 93.9

Training Compute-Optimal Large Language Models

2203.15556 2022-03-29 이 페이지의 평가 2건

Accuracy: 94.3

GHRS: Graph-based Hybrid Recommendation System with Application to Movie Recommendation

2111.11293 2021-11-06 이 페이지의 평가 1건

RMSE: 0.833