1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.CL2026
Style-Debiased DPO: Updating LLM Knowledge with Factuality-Aware Synthetic Preference Data
Takayuki Yamamoto, Daisuke Kawahara
Continued pretraining (CPT) with data augmentation such as paraphrasing can store inside a large language model (LLM) the knowledge of a small source corpus. The stored knowledge,…
cs.CL2026
PASTA: A Paraphrasing And Self-Training Approach for Knowledge Updating in LLMs
Takayuki Yamamoto, Daisuke Kawahara
Knowledge updating in pre-trained Large Language Models (LLMs) remains an important challenge. While continual training provides a potential avenue for knowledge updating, it conti…
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…