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Kento Masui

2 accepted papers

2026

Evaluating Cross-Modal Reasoning Ability and Problem Charactaristics with Multimodal Item Response Theory

ICLR 2026poster

Multimodal Large Language Models (MLLMs) have recently emerged as general architectures capable of reasoning over diverse modalities. Benchmarks for MLLMs should measure their ability for cross‑modal integration. However, current benchmarks are filled with shortcut questions, which can be solved usi…

Cited by 0SourcecodeScholar
2024

LayoutFlow: Flow Matching for Layout Generation

ECCV 2024poster

"Finding a suitable layout represents a crucial task for diverse applications in graphic design. Motivated by simpler and smoother sampling trajectories, we explore the use of Flow Matching as an alternative to current diffusion-based layout generation models. Specifically, we propose LayoutFlow, an…