DecoStrat: Leveraging the Capabilities of Language Models in D2T Generation via Decoding Framework

DecoStrat: Leveraging the Capabilities of Language Models in D2T Generation via Decoding Framework

Current language models have achieved remarkable success in NLP tasks. Nonetheless, individual decoding methods face difficulties in realizing the immense potential of these models. The challenge is primarily due to the lack of a decoding framework that can integrate language models and decoding met...

Full description

Saved in:
Bibliographic Details
Main Authors: Elias Lemuye Jimale, Wenyu Chen, Mugahed A. Al-antari, Yeong Hyeon Gu, Victor Kwaku Agbesi, Wasif Feroze
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Mathematics
Subjects:
decoding methods
data-to-text generation (D2T)
language models (LMs)
natural language generation (NLG)
natural language processing (NLP)
Online Access:https://www.mdpi.com/2227-7390/12/22/3596
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2227-7390/12/22/3596

Similar Items