2 citations · 3 across the 5 of their papers we have counts for
5 papers
LCTG Bench: LLM Controlled Text Generation Benchmark
Kentaro Kurihara, Masato Mita, Peinan Zhang +3
The rise of large language models (LLMs) has led to more diverse and higher-quality machine-generated text. However, their high expressive power makes it difficult to control outpu…
FaithCAMERA: Construction of a Faithful Dataset for Ad Text Generation
Akihiko Kato, Masato Mita, Soichiro Murakami +3
In ad text generation (ATG), desirable ad text is both faithful and informative. That is, it should be faithful to the input document, while at the same time containing important i…
AdTEC: A Unified Benchmark for Evaluating Text Quality in Search Engine Advertising
Peinan Zhang, Yusuke Sakai, Masato Mita +2
With the increase in the fluency of ad texts automatically created by natural language generation technology, there is high demand to verify the quality of these creatives in a rea…
Not Eliminate but Aggregate: Post-Hoc Control over Mixture-of-Experts to Address Shortcut Shifts in Natural Language Understanding
Ukyo Honda, Tatsushi Oka, Peinan Zhang +1
Recent models for natural language understanding are inclined to exploit simple patterns in datasets, commonly known as shortcuts. These shortcuts hinge on spurious correlations be…
Striking Gold in Advertising: Standardization and Exploration of Ad Text Generation
Masato Mita, Soichiro Murakami, Akihiko Kato +1
In response to the limitations of manual ad creation, significant research has been conducted in the field of automatic ad text generation (ATG). However, the lack of comprehensive…