{
  "id": 3616,
  "url": "https://arxiv.org/abs/2605.28035v1",
  "title": "MTAVG-Bench 2.0: Diagnosing Failure Modes of Cinematic Expressiveness in Multi-Talker Audio-Video Generation",
  "summary": "In recent years, Multi-Talker Audio-Video Generation (MTAVG) models have shown promising performance on fundamental metrics such as lip-sync and audio-visual alignment. However, these metrics remain insufficient for assessing cinematic expressiveness in scene-level generation. In multi-character scenes, generation models must go beyond audio-visual realism to convey coherent character performance and other higher-level cinematic qualities. To fill this gap, we introduce MTAVG-Bench 2.0, a benchm",
  "authors": "Haitian Li, Yanghao Zhou, Heyan Huang, Liangji Chen, YiMing Cheng, Xu Liu et al.",
  "category": "research",
  "topics": "safety-alignment,healthcare",
  "orgs": null,
  "regions": null,
  "published_at": "2026-05-27T06:38:54.000Z",
  "fetched_at": "2026-07-14T16:30:23.246Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/3616",
  "original_url": "https://arxiv.org/abs/2605.28035v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}