{"work":{"id":"ce624c61-a8db-44ff-9646-e09326d1328e","openalex_id":null,"doi":null,"arxiv_id":"2410.10989","raw_key":null,"title":"Liger kernel: Efficient triton kernels for llm training.arXiv preprint arXiv:2410.10989, 2024","authors":null,"authors_text":"Pin-Lun Hsu, Yun Dai, Vignesh Kothapalli, Qingquan Song, Shao Tang, Siyu Zhu, Steven Shimizu, Shivam Sahni, Haowen Ning, and Yanning Chen","year":2024,"venue":null,"abstract":null,"external_url":"https://arxiv.org/abs/2410.10989","cited_by_count":null,"metadata_source":"arxiv_reference","metadata_fetched_at":"2026-07-01T16:05:49.751949+00:00","pith_arxiv_id":null,"created_at":"2026-05-10T22:45:47.962926+00:00","updated_at":"2026-07-01T16:05:49.751949+00:00","title_quality_ok":true,"display_title":"Liger Kernel: Efficient Triton Kernels for","render_title":"Liger Kernel: Efficient Triton Kernels for"},"hub":{"state":{"tier_text":"hub","tier":"hub","tier_reason":"10+ Pith inbound or 1,000+ external citations","pith_inbound_count":11,"external_cited_by_count":null},"tier":"hub","role_counts":[{"context_role":"method","n":1}],"polarity_counts":[{"context_polarity":"use_method","n":1}],"runs":{},"summary":{},"graph":{},"authors":[]}}