{
  "id": 7267,
  "url": "https://arxiv.org/abs/2603.13154v1",
  "title": "ESG-Bench: Benchmarking Long-Context ESG Reports for Hallucination Mitigation",
  "summary": "As corporate responsibility increasingly incorporates environmental, social, and governance (ESG) criteria, ESG reporting is becoming a legal requirement in many regions and a key channel for documenting sustainability practices and assessing firms' long-term and ethical performance. However, the length and complexity of ESG disclosures make them difficult to interpret and automate the analysis reliably. To support scalable and trustworthy analysis, this paper introduces ESG-Bench, a benchmark d",
  "authors": "Siqi Sun, Ben Peng Wu, Mali Jin, Peizhen Bai, Hanpei Zhang, Xingyi Song",
  "category": "research",
  "topics": "regulation,environment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-03-13T16:48:05.000Z",
  "fetched_at": "2026-07-14T16:33:08.010Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/7267",
  "original_url": "https://arxiv.org/abs/2603.13154v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}