1 citations · 1 across the 5 of their papers we have counts for
7 papers
TAMA: Tool-Augmented Multimodal Agent for Procedural Activity Understanding
Kimihiro Hasegawa, Wiradee Imrattanatrai, Masaki Asada +2
Procedural activity assistants potentially support humans in a variety of settings, from our daily lives, e.g., cooking or assembling flat-pack furniture, to professional situation…
ProMQA-Assembly: Multimodal Procedural QA Dataset on Assembly
Kimihiro Hasegawa, Wiradee Imrattanatrai, Masaki Asada +5
Assistants on assembly tasks show great potential to benefit humans ranging from helping with everyday tasks to interacting in industrial settings. However, evaluation resources in…
A Video-grounded Dialogue Dataset and Metric for Event-driven Activities
Wiradee Imrattanatrai, Masaki Asada, Kimihiro Hasegawa +3
This paper presents VDAct, a dataset for a Video-grounded Dialogue on Event-driven Activities, alongside VDEval, a session-based context evaluation metric specially designed for th…
Multilingual Open QA on the MIA Shared Task
Navya Yarrabelly, Saloni Mittal, Ketan Todi +1
Cross-lingual information retrieval (CLIR) ~\cite{shi2021cross, asai2021one, jiang2020cross} for example, can find relevant text in any language such as English(high resource) or T…
ProMQA: Question Answering Dataset for Multimodal Procedural Activity Understanding
Kimihiro Hasegawa, Wiradee Imrattanatrai, Zhi-Qi Cheng +5
Multimodal systems have great potential to assist humans in procedural activities, where people follow instructions to achieve their goals. Despite diverse application scenarios, s…
Formulation Comparison for Timeline Construction using LLMs
Kimihiro Hasegawa, Nikhil Kandukuri, Susan Holm +2
Constructing a timeline requires identifying the chronological order of events in an article. In prior timeline construction datasets, temporal orders are typically annotated by ei…