https://github.com/Pesaran/High-dimensional-UK-Inflation-Forecast-April-4-2024
공식 코드High-dimensional forecasting with known knowns and known unknowns
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Language models have a tendency to generate text containing false statements that are often referred to as "Hallucinations." The primary purpose of this task is to test for this failure case by probing whether a model can correctly identify that the answer to a question is unknown. A common failure mode would be to prefer a prediction of false on unknown truth over a prediction that the answer is unknown.
Source: BIG-bench
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
High-dimensional forecasting with known knowns and known unknowns
Knowledge of Knowledge: Exploring Known-Unknowns Uncertainty with Large Language Models
Known Unknowns: Out-of-Distribution Property Prediction in Materials and Molecules
Known Unknowns: Uncertainty Quality in Bayesian Neural Networks
Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Scaling Language Models: Methods, Analysis & Insights from Training Gopher
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.