# LG AI Research — [AAAI-25] Enhanced Anomaly/Out-of-Distribution Detection with Foundation Models

- Company: LG AI Research (lgresearch.ai)
- Announced: 2025-04-28T00:00:00+00:00
- Category: research-paper
- Subject: EXAONE
- Source: https://www.lgresearch.ai/blog/view?seq=556
- Record: https://forck.live/items/4792-aaai-25-enhanced-anomaly-out-of-distribution-detection-with-foundation-models

LG AI Research presented a paper at AAAI 2025 on a new outlier generation framework called SONA (Diffusion-based Semantic Outlier Generation via Nuisance Awareness) for out-of-distribution detection, which uses diffusion models to generate semantic outliers and achieves state-of-the-art performance on both near-OOD and far-OOD datasets.

## Evidence

Verbatim from https://www.lgresearch.ai/blog/view?seq=556:

> LG AI Research's Data Intelligence (DI) Lab presented “Diffusion-based Semantic Outlier Generation via Nuisance Awareness for Out-of-Distribution Detection” at the AAAI main track poster session, which effectively approached this problem.

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Record: https://forck.live/items/4792-aaai-25-enhanced-anomaly-out-of-distribution-detection-with-foundation-models
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