OMRON SINIC X Corporation (HQ: Bunkyo-ku, Tokyo; President and CEO: Masaki Suwa; hereinafter “OSX”)  is pleased to announce that its latest research paper has been accepted for The 2026 Conference on Empirical Methods in Natural Language Processing(hereinafter “EMNLP 2026”).

EMNLP 2026 is one of the top-tier international conferences in the field of natural language processing. In 2026, 2,719 papers (approximately 15.4%) were accepted out of 17,669 submissions, and the conference will be held from October 24th to October 29th, 2026, in Budapest, Hungary (local time).

The research paper to be presented by OSX is as follows.

Paper Accepted at EMNLP 2026

[Main Conference]

■ VidOmni-Bench: A Benchmark for Fine-Grained Video Understanding via Spatio-Temporal Event Verification across Complexity and Duration

Changbeen Kim (Korea University), Junwon Chang (Korea University), Kipyo Kim (Korea University), Risa Shinoda (The University of Tokyo), Kuniaki Saito (OSX), and Donghyun Kim (Korea University)

To evaluate whether video-understanding AI can accurately capture fine-grained events, we introduce VidOmni-Bench. It verifies AI-generated descriptions sentence by sentence against the video, testing whether models can identify plausible but incorrect statements. Our results show that current models not only generate false descriptions but also struggle to recognize their own errors, with different weaknesses emerging depending on video length and complexity.

※The authors’ affiliations are current as of the date of writing or submission. Please be advised that the information may become outdated after that point.

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