🔗 Who cites «FBI-LLM: Scaling Up Fully Binarized LLMs from Scratch via Autoregressive Distillation»

6 papers of our library cite it (of the 149,439 whose bibliographies we read) · 2 with a page here, the most cited first · ← back to «FBI-LLM: Scaling Up Fully Binarized LLMs from Scratch via Autoregressive Distillation»

1. Bit-by-Bit: Progressive QAT Strategy with Outlier Channel Splitting for Stable Low-Bit LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Binxing Xu, Hao Gu, Lujun Li, et al.2026 · 3 citations
2. LBLLM: Lightweight Binarization of Large Language Models via Three-Stage DistillationAnnual Meeting of the Association for Computational Linguistics (ACL)Siqing Song, Chuang Wang, Yong Lang, et al.2026

4 more papers of our library cite it; they have no page here yet.

This page in Markdown → https://md.research.elamur.ai/free/en/papers/ma-2024-fbi-llm-scaling-up-fully/cited-by/