1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CL2024
Reinforcement Learning for Edit-Based Non-Autoregressive Neural Machine Translation
Hao Wang, Tetsuro Morimura, Ukyo Honda +1
Non-autoregressive (NAR) language models are known for their low latency in neural machine translation (NMT). However, a performance gap exists between NAR and autoregressive model…
cs.CL2023★ 1 cited
Exploring Automatic Evaluation Methods based on a Decoder-based LLM for Text Generation
Tomohito Kasahara, Daisuke Kawahara
Automatic evaluation of text generation is essential for improving the accuracy of generation tasks. In light of the current trend towards increasingly larger decoder-based languag…
cs.CL2023
PHALM: Building a Knowledge Graph from Scratch by Prompting Humans and a Language Model
Tatsuya Ide, Eiki Murata, Daisuke Kawahara +4
Despite the remarkable progress in natural language understanding with pretrained Transformers, neural language models often do not handle commonsense knowledge well. Toward common…