Dans l'actualité
The Low Frequency Trap: Video Language Models Fail at Simple Event Bookkeeping
arXiv cs.AI · Publié le · 3 min de lecture
En 30 secondes
- Ce qui s'est passé
- Researchers found that video language models like Gemini 3.6 Flash fail to count events reliably in videos, especially frequent or numerous events, despite appearing accurate on final answers.
- Pourquoi ça compte
- Engineers building video understanding systems should care, particularly those relying on models for temporal reasoning or event tracking in production applications.
- Vigilance
- Higher sampling rates and different prompts show modest improvements in raw accuracy but do not fix the underlying problem of faithful event recovery from video sequences.
Écouter ce résumé
- language model
- rag
- benchmark
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