{
  "id": 35,
  "url": "https://arxiv.org/abs/2607.10610v1",
  "title": "WasteAssistant: Regulation-Guided Visual Question Answering Framework for Intelligent Waste Segregation and Sustainable Managemen",
  "summary": "Efficient waste segregation is critical for sustainable urban management and environmental governance. Existing automated systems are limited by single-modality visual processing, insufficient contextual understanding, and weak regulatory alignment. To address these issues, we propose a language-guided vision-AI framework that integrates vision-language models and multimodal large language models for joint visual-linguistic reasoning. This framework implements a visual question answering paradig",
  "authors": "Khush Kataruka, Harshit Maurya, Anuja Vats, Murari Mandal, Kiran Raja, Praveen Kumar Chandaliya",
  "category": "research",
  "topics": "regulation,safety-alignment,environment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-12T07:14:00.000Z",
  "fetched_at": "2026-07-14T14:14:15.664Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/35",
  "original_url": "https://arxiv.org/abs/2607.10610v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}