1 citations · 2 across the 2 of their papers we have counts for
3 papers
cs.CL2024
What Matters in Memorizing and Recalling Facts? Multifaceted Benchmarks for Knowledge Probing in Language Models
Xin Zhao, Naoki Yoshinaga, Daisuke Oba
Language models often struggle with handling factual knowledge, exhibiting factual hallucination issue. This makes it vital to evaluate the models' ability to recall its parametric…
cs.CL2024★ 1 cited
Tracing the Roots of Facts in Multilingual Language Models: Independent, Shared, and Transferred Knowledge
Xin Zhao, Naoki Yoshinaga, Daisuke Oba
Acquiring factual knowledge for language models (LMs) in low-resource languages poses a serious challenge, thus resorting to cross-lingual transfer in multilingual LMs (ML-LMs). In…
cs.CL2023★ 1 cited
PerPLM: Personalized Fine-tuning of Pretrained Language Models via Writer-specific Intermediate Learning and Prompts
Daisuke Oba, Naoki Yoshinaga, Masashi Toyoda
The meanings of words and phrases depend not only on where they are used (contexts) but also on who use them (writers). Pretrained language models (PLMs) are powerful tools for cap…