activity
20242026
most citedA Gaze-grounded Visual Question Answering Dataset for Clarifying Ambiguous Japanese Questions

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CL2026

Recognizing Dialogue Ambiguity via Candidate Set Visual Grounding

Shun Inadumi, Lee Sangmyeong, Koichiro Yoshino

Interpreting an ambiguous utterance in real-world interactions often requires context beyond a single utterance. When the utterance refers to objects in a visual scene, it is neces…

cs.CL2026

LaViSA: A Language and Vision Structural Ambiguity Benchmark

Lee Sangmyeong, Shun Inadumi, Koichiro Yoshino

Structural ambiguity arises when a single sentence admits multiple valid interpretations due to its syntactic structure, posing a fundamental challenge for language understanding.…

cs.CV2025

SciPostGen: Bridging the Gap between Scientific Papers and Poster Layouts

Shun Inadumi, Shohei Tanaka, Tosho Hirasawa +3

As the number of scientific papers continues to grow, there is a demand for approaches that can effectively convey research findings, with posters serving as a key medium for prese…

cs.CL2025

Disambiguating Reference in Visually Grounded Dialogues through Joint Modeling of Textual and Multimodal Semantic Structures

Shun Inadumi, Nobuhiro Ueda, Koichiro Yoshino

Multimodal reference resolution, including phrase grounding, aims to understand the semantic relations between mentions and real-world objects. Phrase grounding between images and…

cs.CL2024★ 1 cited

A Gaze-grounded Visual Question Answering Dataset for Clarifying Ambiguous Japanese Questions

Shun Inadumi, Seiya Kawano, Akishige Yuguchi +2

Situated conversations, which refer to visual information as visual question answering (VQA), often contain ambiguities caused by reliance on directive information. This problem is…