---
title: "Who cites FBI-LLM: Scaling Up Fully — 6 citing papers"
description: "6 papers of the Elamur Research library cite «FBI-LLM: Scaling Up Fully Binarized LLMs from Scratch via Autoregressive Distillation», found…"
canonical: "https://research.elamur.ai/free/en/papers/ma-2024-fbi-llm-scaling-up-fully/cited-by/"
---
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# 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»](https://md.research.elamur.ai/free/en/papers/ma-2024-fbi-llm-scaling-up-fully/)

1. **[Bit-by-Bit: Progressive QAT Strategy with Outlier Channel Splitting for Stable Low-Bit LLMs](https://md.research.elamur.ai/free/en/papers/xu-2026-bit-bit-progressive-qat-strategy/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Binxing Xu, Hao Gu, Lujun Li, et al.*2026 · 3 citations*
2. **[LBLLM: Lightweight Binarization of Large Language Models via Three-Stage Distillation](https://md.research.elamur.ai/free/en/papers/song-2026-lbllm-lightweight-binarization-large-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Siqing Song, Chuang Wang, Yong Lang, et al.*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/ma-2024-fbi-llm-scaling-up-fully/) — FBI-LLM: Scaling Up Fully Binarized LLMs from Scratch via Autoregressive Distillation