{"author_name":"Paper Radio","author_url":"https://montaan.com/","height":720,"html":"<iframe src=\"https://montaan.com/embed/video/4b49bb49-ee41-4a9d-82d7-ad0daf75076f\" width=\"1280\" height=\"720\" title=\"Understanding and Mitigating Training Instability in Large-Scale Recommender Systems: A Cascade Perspective — Paper Radio\" frameborder=\"0\" allow=\"autoplay; fullscreen; picture-in-picture\" allowfullscreen loading=\"lazy\" style=\"border:0;display:block;max-width:100%;\"></iframe>","provider_name":"Paper Radio","provider_url":"https://montaan.com/","thumbnail_url":"https://montaan.com/media/episodes/4b49bb49-ee41-4a9d-82d7-ad0daf75076f/episode.poster.webp","title":"Understanding and Mitigating Training Instability in Large-Scale Recommender Systems: A Cascade Perspective","type":"video","version":"1.0","width":1280}