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HalDec-Bench: Benchmarking Hallucination Detector in Image Captioning
Kuniaki Saito, Risa Shinoda, Shohei Tanaka +3
Hallucination detection in captions (HalDec) assesses a vision-language model's ability to correctly align image content with text by identifying errors in captions that misreprese…
HalDec-Bench: Benchmarking Hallucination Detector in Image Captioning
Kuniaki Saito, Risa Shinoda, Shohei Tanaka +3
Hallucination detection in captions (HalDec) assesses a vision-language model's ability to correctly align image content with text by identifying errors in captions that misreprese…
AgroBench: Vision-Language Model Benchmark in Agriculture
Risa Shinoda, Nakamasa Inoue, Hirokatsu Kataoka +2
Precise automated understanding of agricultural tasks such as disease identification is essential for sustainable crop production. Recent advances in vision-language models (VLMs)…
CaptionSmiths: Flexibly Controlling Language Pattern in Image Captioning
Kuniaki Saito, Donghyun Kim, Kwanyong Park +2
An image captioning model flexibly switching its language pattern, e.g., descriptiveness and length, should be useful since it can be applied to diverse applications. However, desp…
SBS Figures: Pre-training Figure QA from Stage-by-Stage Synthesized Images
Risa Shinoda, Kuniaki Saito, Shohei Tanaka +2
Building a large-scale figure QA dataset requires a considerable amount of work, from gathering and selecting figures to extracting attributes like text, numbers, and colors, and g…