3 citations · 4 across the 4 of their papers we have counts for
4 papers
Social Bias Evaluation for Large Language Models Requires Prompt Variations
Rem Hida, Masahiro Kaneko, Naoaki Okazaki
Warning: This paper contains examples of stereotypes and biases. Large Language Models (LLMs) exhibit considerable social biases, and various studies have tried to evaluate and mit…
Evaluation of Instruction-Following Ability for Large Language Models on Story-Ending Generation
Rem Hida, Junki Ohmura, Toshiyuki Sekiya
Instruction-tuned Large Language Models (LLMs) have achieved remarkable performance across various benchmark tasks. While providing instructions to LLMs for guiding their generatio…
Polyphone disambiguation and accent prediction using pre-trained language models in Japanese TTS front-end
Rem Hida, Masaki Hamada, Chie Kamada +3
Although end-to-end text-to-speech (TTS) models can generate natural speech, challenges still remain when it comes to estimating sentence-level phonetic and prosodic information fr…
Dynamic and Static Topic Model for Analyzing Time-Series Document Collections
Rem Hida, Naoya Takeishi, Takehisa Yairi +1
For extracting meaningful topics from texts, their structures should be considered properly. In this paper, we aim to analyze structured time-series documents such as a collection…