SOURCE-LINKED INTELLIGENCE
Motivating Next-Gen Accelerators with Flexible N{:}M Activation Sparsity via Benchmarking Lightweight Post-Training Sparsification Approaches
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 6: Industry Track)
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- recordType
- paper
- region
- Global
Evidence & attribution
- ACL Anthology
- OpenAlex research metadata · 2026-01-01T00:00:00.000Z
ACL Anthology and the credited paper authors. Bibliographic metadata only; abstracts and full papers are excluded. Third-party materials retain their respective rights.
License: ACL Anthology usage policy (metadata)
First collected: 2026-09-20T19:42:01.653Z. This is not the publication date.
Research metadata
OpenAlex record ↗ · Metadata licensed CC0; paper rights are separate.
- Citations reported by OpenAlex
- 0
- Authors
- Shirin Alanova; Kristina Kazistova; Ekaterina Galaeva; Alina Kostromina; Vladimir Smirnov; Redko Dmitry; Alexey Dontsov; Maxim Zhelnin; Evgeny Vladimirovich Burnaev; Egor Shvetsov
- Affiliations
- National Research University Higher School of Economics (RU); Yandex (Russia) (RU); Art Institute of Portland (US); Artificial Intelligence Research Institute (ES)
- Topic
- Natural Language Processing Techniques
- Publication type
- conference-paper
- Retraction flag reported by OpenAlex
- Not flagged
Citation count and retraction flag reported by OpenAlex. Citations are not a quality score; affiliation countries are not study locations.